_TensorFlow
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06A6390F3269A6045F8C101444C9E9949CD23DE0
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Files (1275)
_TensorFlow
1275 files • 6.26 GB
Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)
832 files • 4.23 GB
C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)
61 files • 851.27 MB
exercise.7z
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/exercise.7z
3. Picking and Using a Model
14 files • 74.68 MB
7. Demo - Predictions into Human Readable Names.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/3. Picking and Using a Model/7. Demo - Predictions into Human Readable Names.mp4
5. Demo - Creating a Session and Using Tensorboard.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/3. Picking and Using a Model/5. Demo - Creating a Session and Using Tensorboard.mp4
4. Demo - Using a TensorFlow Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/3. Picking and Using a Model/4. Demo - Using a TensorFlow Model.mp4
6. Demo - Getting Predictions.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/3. Picking and Using a Model/6. Demo - Getting Predictions.mp4
1. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/3. Picking and Using a Model/1. Introduction.mp4
2. Steps for Picking a Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/3. Picking and Using a Model/2. Steps for Picking a Model.mp4
3. Picking Your Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/3. Picking and Using a Model/3. Picking Your Model.mp4
7. Demo - Predictions into Human Readable Names.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/3. Picking and Using a Model/7. Demo - Predictions into Human Readable Names.vtt
5. Demo - Creating a Session and Using Tensorboard.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/3. Picking and Using a Model/5. Demo - Creating a Session and Using Tensorboard.vtt
4. Demo - Using a TensorFlow Model.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/3. Picking and Using a Model/4. Demo - Using a TensorFlow Model.vtt
1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/3. Picking and Using a Model/1. Introduction.vtt
2. Steps for Picking a Model.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/3. Picking and Using a Model/2. Steps for Picking a Model.vtt
6. Demo - Getting Predictions.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/3. Picking and Using a Model/6. Demo - Getting Predictions.vtt
3. Picking Your Model.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/3. Picking and Using a Model/3. Picking Your Model.vtt
5. Localization and Segmentation
10 files • 72.73 MB
3. Segementation.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/5. Localization and Segmentation/3. Segementation.mp4
4. Demo - Segmentation.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/5. Localization and Segmentation/4. Demo - Segmentation.mp4
2. Localization.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/5. Localization and Segmentation/2. Localization.mp4
1. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/5. Localization and Segmentation/1. Introduction.mp4
5. Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/5. Localization and Segmentation/5. Summary.mp4
3. Segementation.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/5. Localization and Segmentation/3. Segementation.vtt
4. Demo - Segmentation.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/5. Localization and Segmentation/4. Demo - Segmentation.vtt
2. Localization.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/5. Localization and Segmentation/2. Localization.vtt
1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/5. Localization and Segmentation/1. Introduction.vtt
5. Summary.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/5. Localization and Segmentation/5. Summary.vtt
4. Transfer Learning
14 files • 106.97 MB
5. Demo - TensorFlow Hub and Retraining.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/4. Transfer Learning/5. Demo - TensorFlow Hub and Retraining.mp4
6. Demo - Code Updates to Run the New Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/4. Transfer Learning/6. Demo - Code Updates to Run the New Model.mp4
4. Demo - Preparing the Images.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/4. Transfer Learning/4. Demo - Preparing the Images.mp4
3. Demo - Transfer Learning.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/4. Transfer Learning/3. Demo - Transfer Learning.mp4
1. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/4. Transfer Learning/1. Introduction.mp4
2. Transfer Learning Limitations.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/4. Transfer Learning/2. Transfer Learning Limitations.mp4
7. Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/4. Transfer Learning/7. Summary.mp4
4. Demo - Preparing the Images.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/4. Transfer Learning/4. Demo - Preparing the Images.vtt
5. Demo - TensorFlow Hub and Retraining.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/4. Transfer Learning/5. Demo - TensorFlow Hub and Retraining.vtt
6. Demo - Code Updates to Run the New Model.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/4. Transfer Learning/6. Demo - Code Updates to Run the New Model.vtt
1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/4. Transfer Learning/1. Introduction.vtt
3. Demo - Transfer Learning.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/4. Transfer Learning/3. Demo - Transfer Learning.vtt
2. Transfer Learning Limitations.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/4. Transfer Learning/2. Transfer Learning Limitations.vtt
7. Summary.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/4. Transfer Learning/7. Summary.vtt
6. Face Recognition
8 files • 44.91 MB
2. Demo - Using Facenet.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/6. Face Recognition/2. Demo - Using Facenet.mp4
3. Demo - Building the Classifier.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/6. Face Recognition/3. Demo - Building the Classifier.mp4
1. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/6. Face Recognition/1. Introduction.mp4
4. Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/6. Face Recognition/4. Summary.mp4
2. Demo - Using Facenet.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/6. Face Recognition/2. Demo - Using Facenet.vtt
3. Demo - Building the Classifier.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/6. Face Recognition/3. Demo - Building the Classifier.vtt
1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/6. Face Recognition/1. Introduction.vtt
4. Summary.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/6. Face Recognition/4. Summary.vtt
2. Introduction
10 files • 21.55 MB
3. ML and Imaging.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/2. Introduction/3. ML and Imaging.mp4
2. Some ML Imaging Basics.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/2. Introduction/2. Some ML Imaging Basics.mp4
1. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/2. Introduction/1. Introduction.mp4
4. Over and Underfitting.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/2. Introduction/4. Over and Underfitting.mp4
5. Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/2. Introduction/5. Summary.mp4
3. ML and Imaging.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/2. Introduction/3. ML and Imaging.vtt
2. Some ML Imaging Basics.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/2. Introduction/2. Some ML Imaging Basics.vtt
1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/2. Introduction/1. Introduction.vtt
4. Over and Underfitting.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/2. Introduction/4. Over and Underfitting.vtt
5. Summary.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/2. Introduction/5. Summary.vtt
1. Course Overview
2 files • 2.49 MB
1. Course Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/1. Course Overview/1. Course Overview.mp4
1. Course Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/1. Course Overview/1. Course Overview.vtt
~i.txt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/~i.txt
playlist.m3u
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C2. Implementing Image Recognition Systems with TensorFlow (Jon Flanders, 2019)/playlist.m3u
A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)
85 files • 536.81 MB
exercise.7z
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/exercise.7z
3. Simple Classification Models in TensorFlow
24 files • 92.56 MB
05. Demo - Image Classification Using K-nearest Neighbors.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/05. Demo - Image Classification Using K-nearest Neighbors.mp4
12. Demo - Income Prediction Using Logistic Regression.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/12. Demo - Income Prediction Using Logistic Regression.mp4
09. Demo - Exploring the Census Dataset.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/09. Demo - Exploring the Census Dataset.mp4
06. The Intuition Behind Logistic Regression.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/06. The Intuition Behind Logistic Regression.mp4
11. Working with Estimators in TensorFlow.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/11. Working with Estimators in TensorFlow.mp4
01. Representing Images as Tensors.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/01. Representing Images as Tensors.mp4
10. Feature Engineering with Bucketized and Crossed Columns.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/10. Feature Engineering with Bucketized and Crossed Columns.mp4
02. The K-nearest Neighbors Algorithm.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/02. The K-nearest Neighbors Algorithm.mp4
04. Demo - Environment and Package Setup.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/04. Demo - Environment and Package Setup.mp4
07. Logistic Regression for Prediction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/07. Logistic Regression for Prediction.mp4
08. Cross-entropy as a Cost Function.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/08. Cross-entropy as a Cost Function.mp4
03. Distance Measures.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/03. Distance Measures.mp4
05. Demo - Image Classification Using K-nearest Neighbors.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/05. Demo - Image Classification Using K-nearest Neighbors.vtt
12. Demo - Income Prediction Using Logistic Regression.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/12. Demo - Income Prediction Using Logistic Regression.vtt
06. The Intuition Behind Logistic Regression.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/06. The Intuition Behind Logistic Regression.vtt
11. Working with Estimators in TensorFlow.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/11. Working with Estimators in TensorFlow.vtt
01. Representing Images as Tensors.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/01. Representing Images as Tensors.vtt
09. Demo - Exploring the Census Dataset.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/09. Demo - Exploring the Census Dataset.vtt
10. Feature Engineering with Bucketized and Crossed Columns.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/10. Feature Engineering with Bucketized and Crossed Columns.vtt
02. The K-nearest Neighbors Algorithm.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/02. The K-nearest Neighbors Algorithm.vtt
08. Cross-entropy as a Cost Function.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/08. Cross-entropy as a Cost Function.vtt
07. Logistic Regression for Prediction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/07. Logistic Regression for Prediction.vtt
04. Demo - Environment and Package Setup.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/04. Demo - Environment and Package Setup.vtt
03. Distance Measures.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/3. Simple Classification Models in TensorFlow/03. Distance Measures.vtt
4. Convolutional Neural Networks for Classification in TensorFlow
20 files • 114.76 MB
08. Demo - Image Classification Using CNNs (MNIST Dataset).mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/08. Demo - Image Classification Using CNNs (MNIST Dataset).mp4
10. Demo - Image Classification Using CNNs (CIFAR-10 Dataset).mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/10. Demo - Image Classification Using CNNs (CIFAR-10 Dataset).mp4
01. Neurons and Neural Networks.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/01. Neurons and Neural Networks.mp4
05. Convolutional Layers and Feature Maps.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/05. Convolutional Layers and Feature Maps.mp4
07. Architecture of CNNs.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/07. Architecture of CNNs.mp4
02. Understanding How Convolution Works.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/02. Understanding How Convolution Works.mp4
09. Demo - Exploring the CIFAR-10 Dataset.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/09. Demo - Exploring the CIFAR-10 Dataset.mp4
06. Pooling Layers.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/06. Pooling Layers.mp4
03. Zero Padding and Stride Size.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/03. Zero Padding and Stride Size.mp4
04. Introducing Convolutional Neural Networks.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/04. Introducing Convolutional Neural Networks.mp4
08. Demo - Image Classification Using CNNs (MNIST Dataset).vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/08. Demo - Image Classification Using CNNs (MNIST Dataset).vtt
10. Demo - Image Classification Using CNNs (CIFAR-10 Dataset).vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/10. Demo - Image Classification Using CNNs (CIFAR-10 Dataset).vtt
01. Neurons and Neural Networks.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/01. Neurons and Neural Networks.vtt
05. Convolutional Layers and Feature Maps.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/05. Convolutional Layers and Feature Maps.vtt
02. Understanding How Convolution Works.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/02. Understanding How Convolution Works.vtt
07. Architecture of CNNs.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/07. Architecture of CNNs.vtt
09. Demo - Exploring the CIFAR-10 Dataset.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/09. Demo - Exploring the CIFAR-10 Dataset.vtt
03. Zero Padding and Stride Size.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/03. Zero Padding and Stride Size.vtt
06. Pooling Layers.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/06. Pooling Layers.vtt
04. Introducing Convolutional Neural Networks.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/4. Convolutional Neural Networks for Classification in TensorFlow/04. Introducing Convolutional Neural Networks.vtt
5. Recurrent Neural Networks for Classification in TensorFlow
20 files • 96.81 MB
09. Demo - Text Classification Using RNNs.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/5. Recurrent Neural Networks for Classification in TensorFlow/09. Demo - Text Classification Using RNNs.mp4
08. Demo - Exploring the DBPedia Dataset for Text Classification.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/5. Recurrent Neural Networks for Classification in TensorFlow/08. Demo - Exploring the DBPedia Dataset for Text Classification.mp4
05. Dealing with Vanishing and Exploding Gradients.mp4
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07. Word Vector Encodings.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/5. Recurrent Neural Networks for Classification in TensorFlow/07. Word Vector Encodings.mp4
03. Training Using Back Propogation.mp4
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06. The LSTM Memory Cell.mp4
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01. Why Is the Past Important.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/5. Recurrent Neural Networks for Classification in TensorFlow/01. Why Is the Past Important.mp4
04. Demo - Classifying Images Using RNNs (MNIST Dataset).mp4
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02. Understaning the Recurrent Neuron.mp4
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10. Summary and Next Steps for Learning.mp4
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09. Demo - Text Classification Using RNNs.vtt
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07. Word Vector Encodings.vtt
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08. Demo - Exploring the DBPedia Dataset for Text Classification.vtt
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05. Dealing with Vanishing and Exploding Gradients.vtt
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06. The LSTM Memory Cell.vtt
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03. Training Using Back Propogation.vtt
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02. Understaning the Recurrent Neuron.vtt
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04. Demo - Classifying Images Using RNNs (MNIST Dataset).vtt
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01. Why Is the Past Important.vtt
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10. Summary and Next Steps for Learning.vtt
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2. Overview of Classification Models
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3. Classification and Classifiers.mp4
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8. Binary, Multilabel, Multiclass, and Multioutput Classifiers.mp4
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6. The PrecisionRecall Tradeoff.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/2. Overview of Classification Models/6. The PrecisionRecall Tradeoff.mp4
4. Using Accuracy to Evaluate Models.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/2. Overview of Classification Models/4. Using Accuracy to Evaluate Models.mp4
2. Prerequisites and Software Needed for This Course.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/2. Overview of Classification Models/2. Prerequisites and Software Needed for This Course.mp4
7. The Precision-Recall Tradeoff.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/2. Overview of Classification Models/7. The Precision-Recall Tradeoff.mp4
5. Using Precision and Recall to Evaluate Models.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/2. Overview of Classification Models/5. Using Precision and Recall to Evaluate Models.mp4
1. Version Check.mp4
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6. The PrecisionRecall Tradeoff.vtt
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4. Using Accuracy to Evaluate Models.vtt
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8. Binary, Multilabel, Multiclass, and Multioutput Classifiers.vtt
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2. Prerequisites and Software Needed for This Course.vtt
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7. The Precision-Recall Tradeoff.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A4. Building Classification Models with TensorFlow (Janani Ravi, 2017)/2. Overview of Classification Models/7. The Precision-Recall Tradeoff.vtt
5. Using Precision and Recall to Evaluate Models.vtt
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1. Version Check.vtt
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1. Course Overview
2 files • 4.01 MB
1. Course Overview.mp4
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1. Course Overview.vtt
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playlist.m3u
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~i.txt
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C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)
77 files • 459.87 MB
exercise.7z
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5. Implementing Sequence Classification Using RNNs in TensorFlow
16 files • 102.87 MB
2. Demo - Implementing Naive Bayes as a Baseline.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/5. Implementing Sequence Classification Using RNNs in TensorFlow/2. Demo - Implementing Naive Bayes as a Baseline.mp4
5. Demo - Build and Run the Neural Network.mp4
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7. Demo - Use Pre-trained GloVe Embeddings for Classif.mp4
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4. Demo - Data Preparation for Classification Using RN.mp4
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1. Naive Bayes Intuition.mp4
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8. Summary and Further Learning.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/5. Implementing Sequence Classification Using RNNs in TensorFlow/8. Summary and Further Learning.mp4
6. Advantages of RNNs for Sentiment Analysis.mp4
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3. Drawbacks of Naive Bayes.mp4
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2. Demo - Implementing Naive Bayes as a Baseline.vtt
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5. Demo - Build and Run the Neural Network.vtt
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1. Naive Bayes Intuition.vtt
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7. Demo - Use Pre-trained GloVe Embeddings for Classif.vtt
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4. Demo - Data Preparation for Classification Using RN.vtt
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8. Summary and Further Learning.vtt
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6. Advantages of RNNs for Sentiment Analysis.vtt
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3. Drawbacks of Naive Bayes.vtt
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3. Implementing Word Embeddings in TensorFlow
26 files • 121.64 MB
12. Demo - Implementing Noise Contrastive Estimation.mp4
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10. Demo - Train the Neural Network.mp4
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09. Demo - Contruct the Neural Network.mp4
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08. Demo - Generate Training Batches.mp4
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06. Demo - Download Data and Extract Words.mp4
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07. Demo - Build and Prepare Dataset.mp4
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03. The Continuous Bag of Words Neural Network.mp4
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11. Noise Contrastive Estimators to Measure Loss.mp4
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02. Maximum Likelihood Estimation.mp4
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05. Useful Python Packages.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/3. Implementing Word Embeddings in TensorFlow/05. Useful Python Packages.mp4
01. Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/3. Implementing Word Embeddings in TensorFlow/01. Overview.mp4
04. The Skip-gram Neural Network.mp4
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13. Summary.mp4
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12. Demo - Implementing Noise Contrastive Estimation.vtt
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09. Demo - Contruct the Neural Network.vtt
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08. Demo - Generate Training Batches.vtt
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10. Demo - Train the Neural Network.vtt
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03. The Continuous Bag of Words Neural Network.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/3. Implementing Word Embeddings in TensorFlow/03. The Continuous Bag of Words Neural Network.vtt
06. Demo - Download Data and Extract Words.vtt
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02. Maximum Likelihood Estimation.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/3. Implementing Word Embeddings in TensorFlow/02. Maximum Likelihood Estimation.vtt
11. Noise Contrastive Estimators to Measure Loss.vtt
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07. Demo - Build and Prepare Dataset.vtt
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05. Useful Python Packages.vtt
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01. Overview.vtt
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04. The Skip-gram Neural Network.vtt
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13. Summary.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/3. Implementing Word Embeddings in TensorFlow/13. Summary.vtt
4. Performing Sequence Classification with RNNs
12 files • 42.52 MB
4. Back Propagation Through Time.mp4
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6. The LSTM Cell.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/4. Performing Sequence Classification with RNNs/6. The LSTM Cell.mp4
5. Long Term Memory.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/4. Performing Sequence Classification with RNNs/5. Long Term Memory.mp4
2. The Recurrent Neuron.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/4. Performing Sequence Classification with RNNs/2. The Recurrent Neuron.mp4
1. Text as Sequential Data.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/4. Performing Sequence Classification with RNNs/1. Text as Sequential Data.mp4
3. Input Sequence as a Time Step.mp4
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4. Back Propagation Through Time.vtt
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6. The LSTM Cell.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/4. Performing Sequence Classification with RNNs/6. The LSTM Cell.vtt
5. Long Term Memory.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/4. Performing Sequence Classification with RNNs/5. Long Term Memory.vtt
2. The Recurrent Neuron.vtt
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1. Text as Sequential Data.vtt
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3. Input Sequence as a Time Step.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/4. Performing Sequence Classification with RNNs/3. Input Sequence as a Time Step.vtt
2. Applying Word Vector Embeddings to Language Modeling
18 files • 58.18 MB
7. Frequency-based Embeddings.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/2. Applying Word Vector Embeddings to Language Modeling/7. Frequency-based Embeddings.mp4
5. An Introduction to Neural Networks.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/2. Applying Word Vector Embeddings to Language Modeling/5. An Introduction to Neural Networks.mp4
8. Prediction-based Embeddings.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/2. Applying Word Vector Embeddings to Language Modeling/8. Prediction-based Embeddings.mp4
4. A Rule-based System for Sentiment Analysis.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/2. Applying Word Vector Embeddings to Language Modeling/4. A Rule-based System for Sentiment Analysis.mp4
6. One-hot Encoding.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/2. Applying Word Vector Embeddings to Language Modeling/6. One-hot Encoding.mp4
9. Introducing Word2Vec.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/2. Applying Word Vector Embeddings to Language Modeling/9. Introducing Word2Vec.mp4
2. Classification as a Machine Learning Problem.mp4
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3. Prerequisites and Software.mp4
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1. Version Check.mp4
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7. Frequency-based Embeddings.vtt
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5. An Introduction to Neural Networks.vtt
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8. Prediction-based Embeddings.vtt
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4. A Rule-based System for Sentiment Analysis.vtt
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6. One-hot Encoding.vtt
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9. Introducing Word2Vec.vtt
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2. Classification as a Machine Learning Problem.vtt
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3. Prerequisites and Software.vtt
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1. Course Overview
2 files • 3.4 MB
1. Course Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C4. Sentiment Analysis with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2017)/1. Course Overview/1. Course Overview.mp4
1. Course Overview.vtt
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playlist.m3u
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~i.txt
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C3. Implementing Predictive Analytics with TensorFlow (Justin Flett, 2018)
41 files • 174.49 MB
2. Implementing Supervised Learning Systems
12 files • 69.29 MB
3. Implementing Linear Regression.mp4
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5. Implementing Neural Networks.mp4
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2. Understanding Supervised Learning and Linear Regression.mp4
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4. Understanding Neural Networks.mp4
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6. Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C3. Implementing Predictive Analytics with TensorFlow (Justin Flett, 2018)/2. Implementing Supervised Learning Systems/6. Summary.mp4
1. Introduction.mp4
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3. Implementing Linear Regression.vtt
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5. Implementing Neural Networks.vtt
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2. Understanding Supervised Learning and Linear Regression.vtt
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4. Understanding Neural Networks.vtt
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6. Summary.vtt
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1. Introduction.vtt
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4. Implementing Reinforcement Learning Systems
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3. Implementing a Simple Reinforcement Learning System.mp4
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2. Understanding Reinforcement Learning Systems.mp4
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4. Understanding Markov Decision Process and Policy-based Agents.mp4
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5. Further Learning and Next Steps.mp4
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6. Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C3. Implementing Predictive Analytics with TensorFlow (Justin Flett, 2018)/4. Implementing Reinforcement Learning Systems/6. Summary.mp4
1. Introduction.mp4
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3. Implementing a Simple Reinforcement Learning System.vtt
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2. Understanding Reinforcement Learning Systems.vtt
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4. Understanding Markov Decision Process and Policy-based Agents.vtt
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5. Further Learning and Next Steps.vtt
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6. Summary.vtt
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1. Introduction.vtt
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3. Implementing Recommendation Systems
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4. Implementing a Small-scale Collaborative Filtering System.mp4
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5. Implementing a Larger-scale Collaborative Filtering System.mp4
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2. Understanding Recommendation Learning Systems.mp4
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3. Understanding Matrix Factorization.mp4
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6. Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C3. Implementing Predictive Analytics with TensorFlow (Justin Flett, 2018)/3. Implementing Recommendation Systems/6. Summary.mp4
1. Introduction.mp4
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4. Implementing a Small-scale Collaborative Filtering System.vtt
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2. Understanding Recommendation Learning Systems.vtt
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5. Implementing a Larger-scale Collaborative Filtering System.vtt
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3. Understanding Matrix Factorization.vtt
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6. Summary.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C3. Implementing Predictive Analytics with TensorFlow (Justin Flett, 2018)/3. Implementing Recommendation Systems/6. Summary.vtt
1. Introduction.vtt
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1. Course Overview
2 files • 4.06 MB
1. Course Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C3. Implementing Predictive Analytics with TensorFlow (Justin Flett, 2018)/1. Course Overview/1. Course Overview.mp4
1. Course Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C3. Implementing Predictive Analytics with TensorFlow (Justin Flett, 2018)/1. Course Overview/1. Course Overview.vtt
exercise.7z
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playlist.m3u
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~i.txt
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A1. TensorFlow. Getting Started (Jerry Kurata, 2017)
91 files • 415.21 MB
3. Introducing TensorFlow
18 files • 84.94 MB
2. Installing TensorFlow.mp4
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5. TensorFlow Training.mp4
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8. Gradient Descent in Action.mp4
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7. Gradient Descent.mp4
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3. Getting Hands-on.mp4
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6. Tensor Properties.mp4
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4. Building Our First Model.mp4
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1. Introduction.mp4
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9. Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A1. TensorFlow. Getting Started (Jerry Kurata, 2017)/3. Introducing TensorFlow/9. Summary.mp4
5. TensorFlow Training.vtt
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2. Installing TensorFlow.vtt
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6. Tensor Properties.vtt
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3. Getting Hands-on.vtt
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8. Gradient Descent in Action.vtt
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4. Building Our First Model.vtt
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7. Gradient Descent.vtt
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9. Summary.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A1. TensorFlow. Getting Started (Jerry Kurata, 2017)/3. Introducing TensorFlow/9. Summary.vtt
1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A1. TensorFlow. Getting Started (Jerry Kurata, 2017)/3. Introducing TensorFlow/1. Introduction.vtt
6. Transfer Learning with TensorFlow
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4. Implementing Transfer Learning in TensorFlow.mp4
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6. Using Our Retrained Model.mp4
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5. Retraining Inception.mp4
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1. Introduction.mp4
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3. Transfer Learning Basics.mp4
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2. The Need for Transfer Learning.mp4
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7. Summary.mp4
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4. Implementing Transfer Learning in TensorFlow.vtt
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5. Retraining Inception.vtt
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3. Transfer Learning Basics.vtt
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6. Using Our Retrained Model.vtt
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7. Summary.vtt
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1. Introduction.vtt
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4. Creating Neural Networks in TensorFlow
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4. Simple MNIST.mp4
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6. Coding Deep MNIST.mp4
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5. Deep MNIST.mp4
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2. Introduction to Neural Networks.mp4
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7. Summary.mp4
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3. Neural Network Symbology and Terminology.mp4
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6. Coding Deep MNIST.vtt
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2. Introduction to Neural Networks.vtt
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1. Introduction.vtt
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7. Summary.vtt
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3. Neural Network Symbology and Terminology.vtt
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7. Extending TensorFlow with Add-ons
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3. Using Keras.mp4
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4. DeepMNIST in Keras.mp4
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7. DeepMNIST in TFLearn.mp4
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6. Using TFLearn.mp4
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1. Introduction.mp4
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8. Summary.mp4
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2. Keras.mp4
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5. TFLearn.mp4
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3. Using Keras.vtt
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4. DeepMNIST in Keras.vtt
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7. DeepMNIST in TFLearn.vtt
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6. Using TFLearn.vtt
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8. Summary.vtt
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2. Keras.vtt
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5. TFLearn.vtt
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1. Introduction.vtt
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exercise.7z
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5. Debugging and Monitoring
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6. Using TensorBoard - Part 2.mp4
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3. Using Names and Name Scope.mp4
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7. Summary.mp4
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3. Using Names and Name Scope.vtt
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2. Why Is TensorFlow Different.vtt
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7. Summary.vtt
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1. Introduction.vtt
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2. Introduction
8 files • 22.26 MB
4. Skills and Course Structure.mp4
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2. TensorFlow as Interface and Implementation.mp4
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1. Introduction.mp4
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3. Why Is It Called TensorFlow.mp4
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4. Skills and Course Structure.vtt
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2. TensorFlow as Interface and Implementation.vtt
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1. Introduction.vtt
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3. Why Is It Called TensorFlow.vtt
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8. Summary
2 files • 4.52 MB
1. Last Words.mp4
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1. Last Words.vtt
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1. Course Overview
2 files • 3.59 MB
1. Course Overview.mp4
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playlist.m3u
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~i.txt
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A5. Building Unsupervised Learning Models with TensorFlow (Janani Ravi, 2017)
79 files • 344.69 MB
5. Autoencoders Using Unsupervised Learning
22 files • 111.37 MB
07. Demo - Implementing the Stacked Autoencoder.mp4
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06. Demo - Implementing an Autoencoder to Perform PCA.mp4
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04. Demo - Implementing PCA Using Matplotlib.mp4
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05. The Undercomplete Autoencoder.mp4
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08. Demo - Implementing a Stacked Autoencoder with Dropout.mp4
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10. Denoising Autoencoders and Unsupervised Pre-training.mp4
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11. Use Cases of Autoencoders.mp4
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03. Principal Components Analysis.mp4
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09. Demo - Implementing a Denoising Autoencoder.mp4
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02. Autoencoders Learn the Input to Reproduce at the Output.mp4
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01. Autoencoders as an Unsupervised Learning Technique.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A5. Building Unsupervised Learning Models with TensorFlow (Janani Ravi, 2017)/5. Autoencoders Using Unsupervised Learning/01. Autoencoders as an Unsupervised Learning Technique.mp4
07. Demo - Implementing the Stacked Autoencoder.vtt
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06. Demo - Implementing an Autoencoder to Perform PCA.vtt
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04. Demo - Implementing PCA Using Matplotlib.vtt
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05. The Undercomplete Autoencoder.vtt
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03. Principal Components Analysis.vtt
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11. Use Cases of Autoencoders.vtt
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08. Demo - Implementing a Stacked Autoencoder with Dropout.vtt
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02. Autoencoders Learn the Input to Reproduce at the Output.vtt
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10. Denoising Autoencoders and Unsupervised Pre-training.vtt
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09. Demo - Implementing a Denoising Autoencoder.vtt
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01. Autoencoders as an Unsupervised Learning Technique.vtt
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3. Clustering Using Unsupervised Learning
20 files • 109.45 MB
03. Demo - K-means Clustering on 1D Arrays.mp4
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05. Demo - K-means Clustering on 2D Arrays.mp4
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07. Demo - K-means Clustering on the MNIST Dataset.mp4
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08. Demo - Tweaking the Algorithm on the MNIST Dataset.mp4
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01. The Intuition Behind K-means Clustering.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A5. Building Unsupervised Learning Models with TensorFlow (Janani Ravi, 2017)/3. Clustering Using Unsupervised Learning/01. The Intuition Behind K-means Clustering.mp4
04. K-means Clustering - Algorithm and Design Choices.mp4
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09. Understanding Hierarchical Clustering.mp4
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06. Hyperparameter Tuning.mp4
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02. Setting up for K-means Clustering Demos.mp4
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10. Use Cases of Clustering.mp4
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03. Demo - K-means Clustering on 1D Arrays.vtt
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05. Demo - K-means Clustering on 2D Arrays.vtt
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07. Demo - K-means Clustering on the MNIST Dataset.vtt
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06. Hyperparameter Tuning.vtt
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09. Understanding Hierarchical Clustering.vtt
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01. The Intuition Behind K-means Clustering.vtt
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04. K-means Clustering - Algorithm and Design Choices.vtt
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08. Demo - Tweaking the Algorithm on the MNIST Dataset.vtt
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10. Use Cases of Clustering.vtt
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02. Setting up for K-means Clustering Demos.vtt
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4. Understanding Neurons and Neural Networks
14 files • 61.95 MB
2. How Does a Neuron Work.mp4
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1. Deep Learning, Neural Networks, and Neurons.mp4
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7. Overfitting, Regularisation, and Dropout.mp4
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5. Vanishing, Exploding Gradients, and Dying Neurons.mp4
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6. Overfitting, Dropout, and Regularisation.mp4
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3. Gradient Descent Optimization.mp4
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4. Back Propagation in a Neural Network.mp4
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2. How Does a Neuron Work.vtt
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5. Vanishing, Exploding Gradients, and Dying Neurons.vtt
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1. Deep Learning, Neural Networks, and Neurons.vtt
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7. Overfitting, Regularisation, and Dropout.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A5. Building Unsupervised Learning Models with TensorFlow (Janani Ravi, 2017)/4. Understanding Neurons and Neural Networks/7. Overfitting, Regularisation, and Dropout.vtt
6. Overfitting, Dropout, and Regularisation.vtt
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3. Gradient Descent Optimization.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A5. Building Unsupervised Learning Models with TensorFlow (Janani Ravi, 2017)/4. Understanding Neurons and Neural Networks/3. Gradient Descent Optimization.vtt
4. Back Propagation in a Neural Network.vtt
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2. Introduction to Unsupervised Learning
18 files • 54.59 MB
4. Unsupervised Learning.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A5. Building Unsupervised Learning Models with TensorFlow (Janani Ravi, 2017)/2. Introduction to Unsupervised Learning/4. Unsupervised Learning.mp4
8. Understanding Principal Components Analysis.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A5. Building Unsupervised Learning Models with TensorFlow (Janani Ravi, 2017)/2. Introduction to Unsupervised Learning/8. Understanding Principal Components Analysis.mp4
9. Dimensionality Reducing Using Autoencoders.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A5. Building Unsupervised Learning Models with TensorFlow (Janani Ravi, 2017)/2. Introduction to Unsupervised Learning/9. Dimensionality Reducing Using Autoencoders.mp4
3. Supervised Learning.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A5. Building Unsupervised Learning Models with TensorFlow (Janani Ravi, 2017)/2. Introduction to Unsupervised Learning/3. Supervised Learning.mp4
6. Minimize Intra-cluster Similarity; Maximize Inter-cluster Similarity.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A5. Building Unsupervised Learning Models with TensorFlow (Janani Ravi, 2017)/2. Introduction to Unsupervised Learning/6. Minimize Intra-cluster Similarity; Maximize Inter-cluster Similarity.mp4
2. Prerequisites and Required Software.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A5. Building Unsupervised Learning Models with TensorFlow (Janani Ravi, 2017)/2. Introduction to Unsupervised Learning/2. Prerequisites and Required Software.mp4
5. Introduction to Clustering.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A5. Building Unsupervised Learning Models with TensorFlow (Janani Ravi, 2017)/2. Introduction to Unsupervised Learning/5. Introduction to Clustering.mp4
7. The Intuition Behind How Autoencoders Work.mp4
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1. Version Check.mp4
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8. Understanding Principal Components Analysis.vtt
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3. Supervised Learning.vtt
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9. Dimensionality Reducing Using Autoencoders.vtt
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4. Unsupervised Learning.vtt
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2. Prerequisites and Required Software.vtt
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5. Introduction to Clustering.vtt
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7. The Intuition Behind How Autoencoders Work.vtt
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6. Minimize Intra-cluster Similarity; Maximize Inter-cluster Similarity.vtt
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1. Version Check.vtt
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1. Course Overview
2 files • 4.18 MB
1. Course Overview.mp4
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1. Course Overview.vtt
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exercise.7z
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playlist.m3u
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~i.txt
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A2. Understanding the Foundations of TensorFlow (Janani Ravi, 2017)
79 files • 318.5 MB
2. Introducing TensorFlow
16 files • 62.19 MB
8. Downloading and Installing TensorFlow.mp4
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3. Traditional ML Algorithms.mp4
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5. Deep Learning and Neural Networks.mp4
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6. Introducing TensorFlow.mp4
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2. Prerequisites and Course Overview.mp4
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7. The World as a Graph.mp4
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4. Representation ML Algorithms.mp4
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1. Version Check.mp4
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8. Downloading and Installing TensorFlow.vtt
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6. Introducing TensorFlow.vtt
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5. Deep Learning and Neural Networks.vtt
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2. Prerequisites and Course Overview.vtt
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7. The World as a Graph.vtt
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4. Representation ML Algorithms.vtt
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1. Version Check.vtt
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5. Working with Images
10 files • 63.83 MB
5. Representing a List of Images as a 4D Tensor.mp4
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4. Resizing Images.mp4
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3. Transposing Images.mp4
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1. Image Recognition and Neural Networks.mp4
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2. Representing Images as Tensors.mp4
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4. Resizing Images.vtt
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5. Representing a List of Images as a 4D Tensor.vtt
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3. Transposing Images.vtt
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2. Representing Images as Tensors.vtt
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1. Image Recognition and Neural Networks.vtt
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4. Digging Deeper into Fundamentals
18 files • 80.29 MB
5. Variables.mp4
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4. Fetches and the Feed Dictionary.mp4
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3. Placeholders.mp4
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7. Named Scopes.mp4
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1. A TensorFlow Example - Linear Regression.mp4
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9. Quick Overview - Linear Regression in TensorFlow.mp4
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6. Default and Explicitly Specified Graphs.mp4
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2. Linear Regression in Practice.mp4
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8. Interactive Sessions.mp4
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5. Variables.vtt
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1. A TensorFlow Example - Linear Regression.vtt
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3. Placeholders.vtt
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4. Fetches and the Feed Dictionary.vtt
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9. Quick Overview - Linear Regression in TensorFlow.vtt
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7. Named Scopes.vtt
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6. Default and Explicitly Specified Graphs.vtt
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2. Linear Regression in Practice.vtt
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8. Interactive Sessions.vtt
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3. Introducing Computation Graphs
18 files • 61.08 MB
3. Building, Running, and Visualizing Graphs.mp4
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5. Simple Math Operations.mp4
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8. Tensor Math.mp4
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1. The Computation Graph.mp4
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6. Tensors.mp4
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2. Modeling Cyclic Dependencies.mp4
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9. Numpy and TensorFlow.mp4
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4. Computation Graphs and Distributed Systems.mp4
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7. Rank of a Tensor.mp4
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3. Building, Running, and Visualizing Graphs.vtt
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5. Simple Math Operations.vtt
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6. Tensors.vtt
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1. The Computation Graph.vtt
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8. Tensor Math.vtt
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2. Modeling Cyclic Dependencies.vtt
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9. Numpy and TensorFlow.vtt
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4. Computation Graphs and Distributed Systems.vtt
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7. Rank of a Tensor.vtt
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6. Solving Basic Math Functions
12 files • 45.63 MB
2. The K-nearest-neighbors Algorithm.mp4
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4. KNN in TensorFlow.mp4
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5. Calculating L1 in TensorFlow.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A2. Understanding the Foundations of TensorFlow (Janani Ravi, 2017)/6. Solving Basic Math Functions/5. Calculating L1 in TensorFlow.mp4
1. The MNIST Dataset.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A2. Understanding the Foundations of TensorFlow (Janani Ravi, 2017)/6. Solving Basic Math Functions/1. The MNIST Dataset.mp4
6. Measuring Accuracy.mp4
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3. L1 Distance.mp4
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2. The K-nearest-neighbors Algorithm.vtt
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4. KNN in TensorFlow.vtt
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5. Calculating L1 in TensorFlow.vtt
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1. The MNIST Dataset.vtt
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3. L1 Distance.vtt
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6. Measuring Accuracy.vtt
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1. Course Overview
2 files • 3.84 MB
1. Course Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A2. Understanding the Foundations of TensorFlow (Janani Ravi, 2017)/1. Course Overview/1. Course Overview.mp4
1. Course Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A2. Understanding the Foundations of TensorFlow (Janani Ravi, 2017)/1. Course Overview/1. Course Overview.vtt
exercise.7z
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A2. Understanding the Foundations of TensorFlow (Janani Ravi, 2017)/exercise.7z
playlist.m3u
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A2. Understanding the Foundations of TensorFlow (Janani Ravi, 2017)/playlist.m3u
~i.txt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A2. Understanding the Foundations of TensorFlow (Janani Ravi, 2017)/~i.txt
A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)
66 files • 311.2 MB
3. Building Linear Regression Models Using TensorFlow
14 files • 97.63 MB
4. Implementing Stochastic Gradient Descent in TensorFlow.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/3. Building Linear Regression Models Using TensorFlow/4. Implementing Stochastic Gradient Descent in TensorFlow.mp4
3. Understanding Gradient Descent.mp4
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2. A Baseline Implementation.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/3. Building Linear Regression Models Using TensorFlow/2. A Baseline Implementation.mp4
6. Implementing Batch Gradient Descent in TensorFlow.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/3. Building Linear Regression Models Using TensorFlow/6. Implementing Batch Gradient Descent in TensorFlow.mp4
7. Implementing Multiple Regression.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/3. Building Linear Regression Models Using TensorFlow/7. Implementing Multiple Regression.mp4
5. Instrumenting and Using TensorBoard.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/3. Building Linear Regression Models Using TensorFlow/5. Instrumenting and Using TensorBoard.mp4
1. Outlining Your Approach.mp4
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4. Implementing Stochastic Gradient Descent in TensorFlow.vtt
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3. Understanding Gradient Descent.vtt
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2. A Baseline Implementation.vtt
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6. Implementing Batch Gradient Descent in TensorFlow.vtt
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7. Implementing Multiple Regression.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/3. Building Linear Regression Models Using TensorFlow/7. Implementing Multiple Regression.vtt
5. Instrumenting and Using TensorBoard.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/3. Building Linear Regression Models Using TensorFlow/5. Instrumenting and Using TensorBoard.vtt
1. Outlining Your Approach.vtt
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5. Building Generalized Linear Models Using Estimators
10 files • 61.55 MB
4. Extending Estimators with Custom Models.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/5. Building Generalized Linear Models Using Estimators/4. Extending Estimators with Custom Models.mp4
1. How Estimators Work.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/5. Building Generalized Linear Models Using Estimators/1. How Estimators Work.mp4
3. Logistic Regression with Estimators.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/5. Building Generalized Linear Models Using Estimators/3. Logistic Regression with Estimators.mp4
2. Linear Regression with Estimators.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/5. Building Generalized Linear Models Using Estimators/2. Linear Regression with Estimators.mp4
5. Course Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/5. Building Generalized Linear Models Using Estimators/5. Course Summary.mp4
1. How Estimators Work.vtt
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4. Extending Estimators with Custom Models.vtt
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3. Logistic Regression with Estimators.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/5. Building Generalized Linear Models Using Estimators/3. Logistic Regression with Estimators.vtt
2. Linear Regression with Estimators.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/5. Building Generalized Linear Models Using Estimators/2. Linear Regression with Estimators.vtt
5. Course Summary.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/5. Building Generalized Linear Models Using Estimators/5. Course Summary.vtt
4. Building Logistic Regression Models Using TensorFlow
16 files • 75.58 MB
7. Implementing Linear Classification in TensorFlow.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/4. Building Logistic Regression Models Using TensorFlow/7. Implementing Linear Classification in TensorFlow.mp4
8. Calculating Accuracy.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/4. Building Logistic Regression Models Using TensorFlow/8. Calculating Accuracy.mp4
3. A Baseline Implementation.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/4. Building Logistic Regression Models Using TensorFlow/3. A Baseline Implementation.mp4
5. The Implications of Using Softmax Activation.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/4. Building Logistic Regression Models Using TensorFlow/5. The Implications of Using Softmax Activation.mp4
1. The Intuition Behind Logistic Regression.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/4. Building Logistic Regression Models Using TensorFlow/1. The Intuition Behind Logistic Regression.mp4
4. Logistic Regression in TensorFlow.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/4. Building Logistic Regression Models Using TensorFlow/4. Logistic Regression in TensorFlow.mp4
2. Logistic Regression and Linear Regression.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/4. Building Logistic Regression Models Using TensorFlow/2. Logistic Regression and Linear Regression.mp4
6. Cross Entropy.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/4. Building Logistic Regression Models Using TensorFlow/6. Cross Entropy.mp4
5. The Implications of Using Softmax Activation.vtt
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1. The Intuition Behind Logistic Regression.vtt
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7. Implementing Linear Classification in TensorFlow.vtt
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4. Logistic Regression in TensorFlow.vtt
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8. Calculating Accuracy.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/4. Building Logistic Regression Models Using TensorFlow/8. Calculating Accuracy.vtt
3. A Baseline Implementation.vtt
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2. Logistic Regression and Linear Regression.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/4. Building Logistic Regression Models Using TensorFlow/2. Logistic Regression and Linear Regression.vtt
6. Cross Entropy.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/4. Building Logistic Regression Models Using TensorFlow/6. Cross Entropy.vtt
2. Learning Using Neurons
21 files • 71.53 MB
05. Understanding a Neuron.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/2. Learning Using Neurons/05. Understanding a Neuron.mp4
08. XOR - A Slightly More Complex Neural Network.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/2. Learning Using Neurons/08. XOR - A Slightly More Complex Neural Network.mp4
09. Learning XOR.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/2. Learning Using Neurons/09. Learning XOR.mp4
03. Deep Learning as a Representation Learning System.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/2. Learning Using Neurons/03. Deep Learning as a Representation Learning System.mp4
04. Neurons as Learning Units.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/2. Learning Using Neurons/04. Neurons as Learning Units.mp4
07. Regression - The Simplest Neural Network.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/2. Learning Using Neurons/07. Regression - The Simplest Neural Network.mp4
02. Understanding Deep Learning.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/2. Learning Using Neurons/02. Understanding Deep Learning.mp4
10. Choice of Activation Function.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/2. Learning Using Neurons/10. Choice of Activation Function.mp4
06. Activation Functions.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/2. Learning Using Neurons/06. Activation Functions.mp4
11. Prequisites and Course Outline.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/2. Learning Using Neurons/11. Prequisites and Course Outline.mp4
05. Understanding a Neuron.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/2. Learning Using Neurons/05. Understanding a Neuron.vtt
08. XOR - A Slightly More Complex Neural Network.vtt
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02. Understanding Deep Learning.vtt
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03. Deep Learning as a Representation Learning System.vtt
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09. Learning XOR.vtt
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07. Regression - The Simplest Neural Network.vtt
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04. Neurons as Learning Units.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/2. Learning Using Neurons/04. Neurons as Learning Units.vtt
10. Choice of Activation Function.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/2. Learning Using Neurons/10. Choice of Activation Function.vtt
06. Activation Functions.vtt
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11. Prequisites and Course Outline.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/2. Learning Using Neurons/11. Prequisites and Course Outline.vtt
01. Version Check.txt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/2. Learning Using Neurons/01. Version Check.txt
1. Course Overview
2 files • 3.13 MB
1. Course Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/1. Course Overview/1. Course Overview.mp4
1. Course Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/1. Course Overview/1. Course Overview.vtt
exercise.7z
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/exercise.7z
playlist.m3u
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/playlist.m3u
~i.txt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/A3. Building Regression Models Using TensorFlow (Vitthal Srinivasan, 2017)/~i.txt
B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)
71 files • 339.02 MB
3. Applying tfdbg to Common Use-cases
16 files • 107.42 MB
6. Using Filters with Neural Networks.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/3. Applying tfdbg to Common Use-cases/6. Using Filters with Neural Networks.mp4
4. Debugging Shortcuts and Multiple Session Runs.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/3. Applying tfdbg to Common Use-cases/4. Debugging Shortcuts and Multiple Session Runs.mp4
5. Using has_inf_or_nan and Custom Filters.mp4
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3. Introducing tfdbg Commands.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/3. Applying tfdbg to Common Use-cases/3. Introducing tfdbg Commands.mp4
7. Debugging Estimators and Experiments.mp4
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2. The Curses Library for tfdbg.mp4
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8. Debugging Keras Models.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/3. Applying tfdbg to Common Use-cases/8. Debugging Keras Models.mp4
1. Module Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/3. Applying tfdbg to Common Use-cases/1. Module Overview.mp4
3. Introducing tfdbg Commands.vtt
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5. Using has_inf_or_nan and Custom Filters.vtt
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4. Debugging Shortcuts and Multiple Session Runs.vtt
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6. Using Filters with Neural Networks.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/3. Applying tfdbg to Common Use-cases/6. Using Filters with Neural Networks.vtt
7. Debugging Estimators and Experiments.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/3. Applying tfdbg to Common Use-cases/7. Debugging Estimators and Experiments.vtt
8. Debugging Keras Models.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/3. Applying tfdbg to Common Use-cases/8. Debugging Keras Models.vtt
2. The Curses Library for tfdbg.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/3. Applying tfdbg to Common Use-cases/2. The Curses Library for tfdbg.vtt
1. Module Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/3. Applying tfdbg to Common Use-cases/1. Module Overview.vtt
4. Visualizing TensorFlow Using TensorBoard
20 files • 90.34 MB
05. Scalar Summaries.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/05. Scalar Summaries.mp4
04. Using Named Scopes.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/04. Using Named Scopes.mp4
10. Working with Images.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/10. Working with Images.mp4
03. Naming Tensors and Nodes.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/03. Naming Tensors and Nodes.mp4
09. Runtime Statistics.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/09. Runtime Statistics.mp4
02. Introducing TensorBoard.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/02. Introducing TensorBoard.mp4
07. Moving Mean Normal Distribution.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/07. Moving Mean Normal Distribution.mp4
08. More Histograms.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/08. More Histograms.mp4
06. Histograms.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/06. Histograms.mp4
01. Module Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/01. Module Overview.mp4
05. Scalar Summaries.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/05. Scalar Summaries.vtt
10. Working with Images.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/10. Working with Images.vtt
04. Using Named Scopes.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/04. Using Named Scopes.vtt
02. Introducing TensorBoard.vtt
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03. Naming Tensors and Nodes.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/03. Naming Tensors and Nodes.vtt
06. Histograms.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/06. Histograms.vtt
07. Moving Mean Normal Distribution.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/07. Moving Mean Normal Distribution.vtt
09. Runtime Statistics.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/09. Runtime Statistics.vtt
08. More Histograms.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/08. More Histograms.vtt
01. Module Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/4. Visualizing TensorFlow Using TensorBoard/01. Module Overview.vtt
2. Introducing TensorFlow Debugging Methods
30 files • 136.75 MB
12. Introducing tf.Assert().mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/12. Introducing tf.Assert().mp4
11. tf.Print() - A Neural Network Example.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/11. tf.Print() - A Neural Network Example.mp4
14. Interposing Python Code in Computation Graphs.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/14. Interposing Python Code in Computation Graphs.mp4
13. Traditional Python Debuggers.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/13. Traditional Python Debuggers.mp4
07. Fetching Tensors - A Neural Network Example.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/07. Fetching Tensors - A Neural Network Example.mp4
09. Partial Runs.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/09. Partial Runs.mp4
08. Fetching Tensors - Side Effects.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/08. Fetching Tensors - Side Effects.mp4
10. Introducing tf.Print().mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/10. Introducing tf.Print().mp4
06. Fetching Tensors - Computing Intermediate Values.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/06. Fetching Tensors - Computing Intermediate Values.mp4
05. Debugging TensorFlow Programs.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/05. Debugging TensorFlow Programs.mp4
04. A Brief Overview of Computation Graphs.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/04. A Brief Overview of Computation Graphs.mp4
03. Prerequisites and Course Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/03. Prerequisites and Course Overview.mp4
15. Introducing tfdbg and TensorBoard.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/15. Introducing tfdbg and TensorBoard.mp4
02. Module Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/02. Module Overview.mp4
01. Version Check.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/01. Version Check.mp4
12. Introducing tf.Assert().vtt
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09. Partial Runs.vtt
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10. Introducing tf.Print().vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/10. Introducing tf.Print().vtt
07. Fetching Tensors - A Neural Network Example.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/07. Fetching Tensors - A Neural Network Example.vtt
06. Fetching Tensors - Computing Intermediate Values.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/06. Fetching Tensors - Computing Intermediate Values.vtt
14. Interposing Python Code in Computation Graphs.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/14. Interposing Python Code in Computation Graphs.vtt
11. tf.Print() - A Neural Network Example.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/11. tf.Print() - A Neural Network Example.vtt
05. Debugging TensorFlow Programs.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/05. Debugging TensorFlow Programs.vtt
13. Traditional Python Debuggers.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/13. Traditional Python Debuggers.vtt
08. Fetching Tensors - Side Effects.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/08. Fetching Tensors - Side Effects.vtt
03. Prerequisites and Course Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/03. Prerequisites and Course Overview.vtt
04. A Brief Overview of Computation Graphs.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/04. A Brief Overview of Computation Graphs.vtt
15. Introducing tfdbg and TensorBoard.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/15. Introducing tfdbg and TensorBoard.vtt
02. Module Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/2. Introducing TensorFlow Debugging Methods/02. Module Overview.vtt
01. Version Check.vtt
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1. Course Overview
2 files • 4.07 MB
1. Course Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/1. Course Overview/1. Course Overview.mp4
1. Course Overview.vtt
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exercise.7z
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/exercise.7z
playlist.m3u
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/playlist.m3u
~i.txt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B1. Debugging and Monitoring TensorFlow Programs (Janani Ravi, 2018)/~i.txt
C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)
79 files • 279.58 MB
5. Implementing RNNs for Character Prediction Used to Generate Text
14 files • 74.07 MB
6. Text Generation Using Character Prediction.mp4
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2. Character Prediction - Retrieve Data from ArXiv.o.mp4
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4. Training the Model.mp4
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3. Representing Characters in One Hot Encoding.mp4
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5. Build the RNN for Prediction.mp4
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7. Summary and Further Reading.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/5. Implementing RNNs for Character Prediction Used to Generate Text/7. Summary and Further Reading.mp4
1. Module Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/5. Implementing RNNs for Character Prediction Used to Generate Text/1. Module Overview.mp4
6. Text Generation Using Character Prediction.vtt
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4. Training the Model.vtt
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2. Character Prediction - Retrieve Data from ArXiv.o.vtt
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3. Representing Characters in One Hot Encoding.vtt
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5. Build the RNN for Prediction.vtt
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7. Summary and Further Reading.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/5. Implementing RNNs for Character Prediction Used to Generate Text/7. Summary and Further Reading.vtt
1. Module Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/5. Implementing RNNs for Character Prediction Used to Generate Text/1. Module Overview.vtt
3. Implementing Character Recognition Using Bidirectional RNNs
20 files • 81.85 MB
09. Manually Setup the Bidirectional RNN.mp4
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04. Features and Labels.mp4
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07. Building the RNN.mp4
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08. Training and Evaluating the RNN.mp4
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10. Bidirectional RNN Using the TF Library.mp4
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05. Shuffle and Feed in Training Data.mp4
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02. Running Jupyter Notebook and Import Statements.mp4
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03. Download and Parse OCR File.mp4
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06. Sequence Length Calculations.mp4
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01. Module Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/3. Implementing Character Recognition Using Bidirectional RNNs/01. Module Overview.mp4
04. Features and Labels.vtt
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07. Building the RNN.vtt
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08. Training and Evaluating the RNN.vtt
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09. Manually Setup the Bidirectional RNN.vtt
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05. Shuffle and Feed in Training Data.vtt
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02. Running Jupyter Notebook and Import Statements.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/3. Implementing Character Recognition Using Bidirectional RNNs/02. Running Jupyter Notebook and Import Statements.vtt
10. Bidirectional RNN Using the TF Library.vtt
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03. Download and Parse OCR File.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/3. Implementing Character Recognition Using Bidirectional RNNs/03. Download and Parse OCR File.vtt
06. Sequence Length Calculations.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/3. Implementing Character Recognition Using Bidirectional RNNs/06. Sequence Length Calculations.vtt
01. Module Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/3. Implementing Character Recognition Using Bidirectional RNNs/01. Module Overview.vtt
2. Applying Bidirectional Recurrent Neural Networks to Word Recognition
24 files • 64.14 MB
07. Bidirectional RNNs.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/07. Bidirectional RNNs.mp4
05. Training a Recurrent Neural Network.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/05. Training a Recurrent Neural Network.mp4
11. Conventional RNN Architecture.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/11. Conventional RNN Architecture.mp4
06. The Long Memory Cell.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/06. The Long Memory Cell.mp4
09. OCR File Format.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/09. OCR File Format.mp4
12. Bidirectional RNN Architecture.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/12. Bidirectional RNN Architecture.mp4
08. OCR - A Sequence Labelling Problem.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/08. OCR - A Sequence Labelling Problem.mp4
04. The Recurrent Neuron.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/04. The Recurrent Neuron.mp4
03. Prerequisites and Course Outline.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/03. Prerequisites and Course Outline.mp4
02. Module Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/02. Module Overview.mp4
10. Features and Labels for OCR.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/10. Features and Labels for OCR.mp4
01. Version Check.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/01. Version Check.mp4
07. Bidirectional RNNs.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/07. Bidirectional RNNs.vtt
05. Training a Recurrent Neural Network.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/05. Training a Recurrent Neural Network.vtt
11. Conventional RNN Architecture.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/11. Conventional RNN Architecture.vtt
06. The Long Memory Cell.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/06. The Long Memory Cell.vtt
09. OCR File Format.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/09. OCR File Format.vtt
04. The Recurrent Neuron.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/04. The Recurrent Neuron.vtt
08. OCR - A Sequence Labelling Problem.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/08. OCR - A Sequence Labelling Problem.vtt
12. Bidirectional RNN Architecture.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/12. Bidirectional RNN Architecture.vtt
03. Prerequisites and Course Outline.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/03. Prerequisites and Course Outline.vtt
10. Features and Labels for OCR.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/10. Features and Labels for OCR.vtt
02. Module Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/02. Module Overview.vtt
01. Version Check.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/2. Applying Bidirectional Recurrent Neural Networks to Word Recognition/01. Version Check.vtt
4. Applying RNNs to Character Prediction for Text Generation
16 files • 52.61 MB
7. RNN Architecture for Text Prediction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/4. Applying RNNs to Character Prediction for Text Generation/7. RNN Architecture for Text Prediction.mp4
4. The Multi-RNN Cell.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/4. Applying RNNs to Character Prediction for Text Generation/4. The Multi-RNN Cell.mp4
8. Understanding Perplexity.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/4. Applying RNNs to Character Prediction for Text Generation/8. Understanding Perplexity.mp4
5. Generate Training Data and Labels Using a Sliding Window.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/4. Applying RNNs to Character Prediction for Text Generation/5. Generate Training Data and Labels Using a Sliding Window.mp4
2. Using Neural Networks for Natural Language Processing.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/4. Applying RNNs to Character Prediction for Text Generation/2. Using Neural Networks for Natural Language Processing.mp4
3. Language Modeling Problems.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/4. Applying RNNs to Character Prediction for Text Generation/3. Language Modeling Problems.mp4
1. Module Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/4. Applying RNNs to Character Prediction for Text Generation/1. Module Overview.mp4
6. Text Generation Using Character Prediction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/4. Applying RNNs to Character Prediction for Text Generation/6. Text Generation Using Character Prediction.mp4
8. Understanding Perplexity.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/4. Applying RNNs to Character Prediction for Text Generation/8. Understanding Perplexity.vtt
7. RNN Architecture for Text Prediction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/4. Applying RNNs to Character Prediction for Text Generation/7. RNN Architecture for Text Prediction.vtt
4. The Multi-RNN Cell.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/4. Applying RNNs to Character Prediction for Text Generation/4. The Multi-RNN Cell.vtt
3. Language Modeling Problems.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/4. Applying RNNs to Character Prediction for Text Generation/3. Language Modeling Problems.vtt
2. Using Neural Networks for Natural Language Processing.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/4. Applying RNNs to Character Prediction for Text Generation/2. Using Neural Networks for Natural Language Processing.vtt
5. Generate Training Data and Labels Using a Sliding Window.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/4. Applying RNNs to Character Prediction for Text Generation/5. Generate Training Data and Labels Using a Sliding Window.vtt
1. Module Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/4. Applying RNNs to Character Prediction for Text Generation/1. Module Overview.vtt
6. Text Generation Using Character Prediction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/4. Applying RNNs to Character Prediction for Text Generation/6. Text Generation Using Character Prediction.vtt
1. Course Overview
2 files • 3.71 MB
1. Course Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/1. Course Overview/1. Course Overview.mp4
1. Course Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/1. Course Overview/1. Course Overview.vtt
exercise.7z
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/exercise.7z
playlist.m3u
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/playlist.m3u
~i.txt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/C1. Language Modeling with Recurrent Neural Networks in TensorFlow (Janani Ravi, 2018)/~i.txt
B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)
101 files • 304.91 MB
2. Using TensorFlow Serving
28 files • 98.03 MB
14. Demo - Making Predictions from a Saved Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/2. Using TensorFlow Serving/14. Demo - Making Predictions from a Saved Model.mp4
13. Demo - Training and Saving the Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/2. Using TensorFlow Serving/13. Demo - Training and Saving the Model.mp4
11. Demo - Deploying and Hosting the MNIST Classification Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/2. Using TensorFlow Serving/11. Demo - Deploying and Hosting the MNIST Classification Model.mp4
05. Demo - Training and the Experiment Function.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/2. Using TensorFlow Serving/05. Demo - Training and the Experiment Function.mp4
04. Demo - Exploring the Churn Prediction Dataset.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/2. Using TensorFlow Serving/04. Demo - Exploring the Churn Prediction Dataset.mp4
10. Demo - Installing TensorFlow, gRPC, Serving APIs and the Model Server.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/2. Using TensorFlow Serving/10. Demo - Installing TensorFlow, gRPC, Serving APIs and the Model Server.mp4
12. Demo - Setting up the Churn Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/2. Using TensorFlow Serving/12. Demo - Setting up the Churn Model.mp4
09. Demo - Setting up the Azure VM.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/2. Using TensorFlow Serving/09. Demo - Setting up the Azure VM.mp4
03. The Machine Learning Workflow - Local Serving.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/2. Using TensorFlow Serving/03. The Machine Learning Workflow - Local Serving.mp4
02. Prerequisites and Course Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/2. Using TensorFlow Serving/02. Prerequisites and Course Overview.mp4
08. gRPC and Protocol Buffers.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/2. Using TensorFlow Serving/08. gRPC and Protocol Buffers.mp4
06. The Saved Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/2. Using TensorFlow Serving/06. The Saved Model.mp4
01. Module Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/2. Using TensorFlow Serving/01. Module Overview.mp4
07. The TensorFlow Model Server.mp4
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14. Demo - Making Predictions from a Saved Model.vtt
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13. Demo - Training and Saving the Model.vtt
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04. Demo - Exploring the Churn Prediction Dataset.vtt
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11. Demo - Deploying and Hosting the MNIST Classification Model.vtt
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05. Demo - Training and the Experiment Function.vtt
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03. The Machine Learning Workflow - Local Serving.vtt
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12. Demo - Setting up the Churn Model.vtt
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09. Demo - Setting up the Azure VM.vtt
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10. Demo - Installing TensorFlow, gRPC, Serving APIs and the Model Server.vtt
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02. Prerequisites and Course Overview.vtt
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06. The Saved Model.vtt
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08. gRPC and Protocol Buffers.vtt
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07. The TensorFlow Model Server.vtt
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01. Module Overview.vtt
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5. Deploying TensorFlow Models on the Google Cloud Platform
28 files • 89.18 MB
10. Demo - Python Package Contents.mp4
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12. Demo - Distributed Training and Deployment.mp4
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09. Demo - Setting up Bucket Permissions.mp4
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06. Demo - Connecting to Datalab.mp4
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02. Cloud ML Engine vs. SageMaker.mp4
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03. The Machine Learning Workflow - Cloud ML Engine.mp4
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11. Demo - Local Training and Prediction.mp4
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08. Demo - Data Preparation.mp4
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04. Training the Model.mp4
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13. Demo - Making Predictions Using Cloud ML Endpoints.mp4
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07. Demo - Creating a GCS Bucket.mp4
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14. Summary and Further Study.mp4
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01. Module Overview.mp4
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05. Deploying the Model.mp4
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10. Demo - Python Package Contents.vtt
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03. The Machine Learning Workflow - Cloud ML Engine.vtt
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04. Training the Model.vtt
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02. Cloud ML Engine vs. SageMaker.vtt
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06. Demo - Connecting to Datalab.vtt
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12. Demo - Distributed Training and Deployment.vtt
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09. Demo - Setting up Bucket Permissions.vtt
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08. Demo - Data Preparation.vtt
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11. Demo - Local Training and Prediction.vtt
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14. Summary and Further Study.vtt
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05. Deploying the Model.vtt
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13. Demo - Making Predictions Using Cloud ML Endpoints.vtt
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01. Module Overview.vtt
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07. Demo - Creating a GCS Bucket.vtt
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3. Containerizing TensorFlow Models Using Docker on Microsoft Azure
18 files • 56.11 MB
5. Demo - Building the Docker Image.mp4
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2. Azure ML IaaS and PaaS Options.mp4
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7. Demo - Registering the Image with Docker Hub.mp4
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9. Demo - Making Predictions from a Saved Model Using a Dock.mp4
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4. Demo - Docker CE Install.mp4
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8. Demo - Running Docker Using the Docker Hub Image.mp4
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3. Containers and VMs.mp4
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6. Demo - Running a Docker Container for Predictions.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/3. Containerizing TensorFlow Models Using Docker on Microsoft Azure/6. Demo - Running a Docker Container for Predictions.mp4
1. Module Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/3. Containerizing TensorFlow Models Using Docker on Microsoft Azure/1. Module Overview.mp4
2. Azure ML IaaS and PaaS Options.vtt
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5. Demo - Building the Docker Image.vtt
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3. Containers and VMs.vtt
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7. Demo - Registering the Image with Docker Hub.vtt
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9. Demo - Making Predictions from a Saved Model Using a Dock.vtt
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4. Demo - Docker CE Install.vtt
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8. Demo - Running Docker Using the Docker Hub Image.vtt
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6. Demo - Running a Docker Container for Predictions.vtt
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1. Module Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/3. Containerizing TensorFlow Models Using Docker on Microsoft Azure/1. Module Overview.vtt
4. Deploying TensorFlow Models on Amazon AWS
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10. Demo - Training and Deploying the Model.mp4
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09. Demo - Setting up the TensorFlow Model.mp4
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08. Demo - Data Preparation.mp4
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02. The Machine Learning Workflow - SageMaker.mp4
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11. Demo - Models and Endpoints.mp4
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07. Demo - Setting up a Notebook Instance.mp4
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06. Demo - Setting up an S3 Bucket.mp4
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04. Deploying the Model.mp4
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03. Training the Model.mp4
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05. Training and Inference Code Interface.mp4
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01. Module Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/4. Deploying TensorFlow Models on Amazon AWS/01. Module Overview.mp4
02. The Machine Learning Workflow - SageMaker.vtt
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04. Deploying the Model.vtt
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10. Demo - Training and Deploying the Model.vtt
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09. Demo - Setting up the TensorFlow Model.vtt
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08. Demo - Data Preparation.vtt
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11. Demo - Models and Endpoints.vtt
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07. Demo - Setting up a Notebook Instance.vtt
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03. Training the Model.vtt
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05. Training and Inference Code Interface.vtt
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06. Demo - Setting up an S3 Bucket.vtt
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01. Module Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow (2019)/B2. Deploying TensorFlow Models to AWS, Azure, and the GCP (Janani Ravi, 2018)/4. Deploying TensorFlow Models on Amazon AWS/01. Module Overview.vtt
1. Course Overview
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exercise.7z
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playlist.m3u
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Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)
443 files • 2.03 GB
C1. Build a Machine Learning Workflow with Keras TensorFlow 2.0 (Janani Ravi, 2020)
93 files • 532.03 MB
exercise.7z
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3. Building Regression and Classification Models
18 files • 127.6 MB
2. Demo - Training a Simple Sequential Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C1. Build a Machine Learning Workflow with Keras TensorFlow 2.0 (Janani Ravi, 2020)/3. Building Regression and Classification Models/2. Demo - Training a Simple Sequential Model.mp4
7. Demo - Build and Train Model Using the Functional API.mp4
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1. Demo - Exploring and Processing the Insurance Dataset.mp4
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3. Demo - Configuring Training Behavior Using Callbacks.mp4
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9. Demo - Monitoring Models Using TensorBoard.mp4
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6. Demo - Exploring and Processing the Spine Dataset.mp4
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4. Demo - Saving Model Architecture and Weights.mp4
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5. Demo - Loading Saved Models.mp4
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8. Demo - Checkpointing Models Using Callbacks.mp4
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1. Demo - Exploring and Processing the Insurance Dataset.vtt
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2. Demo - Training a Simple Sequential Model.vtt
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7. Demo - Build and Train Model Using the Functional API.vtt
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3. Demo - Configuring Training Behavior Using Callbacks.vtt
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9. Demo - Monitoring Models Using TensorBoard.vtt
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6. Demo - Exploring and Processing the Spine Dataset.vtt
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4. Demo - Saving Model Architecture and Weights.vtt
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5. Demo - Loading Saved Models.vtt
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8. Demo - Checkpointing Models Using Callbacks.vtt
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2. Understanding Keras Models and Layers
18 files • 72.89 MB
9. Demo - Install and Set up Tensor Flow.mp4
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6. Sequential Models.mp4
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5. Unsupervised Learning.mp4
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8. Saving and Loading Models.mp4
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4. Supervised Learning.mp4
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3. Introducing Keras.mp4
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7. The Functional API.mp4
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2. Prerequisites and Course Outline.mp4
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1. Version Check.mp4
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6. Sequential Models.vtt
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9. Demo - Install and Set up Tensor Flow.vtt
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5. Unsupervised Learning.vtt
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8. Saving and Loading Models.vtt
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4. Supervised Learning.vtt
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3. Introducing Keras.vtt
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7. The Functional API.vtt
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2. Prerequisites and Course Outline.vtt
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1. Version Check.vtt
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4. Building Image Classification Models
20 files • 95.39 MB
07. Demo - Loading and Preprocessing the Cifar10 Dataset.mp4
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10. Demo - Using Image Transformations and Dropout.mp4
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04. Convolutional Layers.mp4
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09. Demo - Training and Prediction Using a CNN.mp4
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08. Demo - Designing the Convolutional Neural Network.mp4
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02. Introducing Convolutional Neural Networks.mp4
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05. Pooling Layers.mp4
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03. Convolution.mp4
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06. CNN Architecture.mp4
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01. Drawbacks of Dense Neural Networks.mp4
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07. Demo - Loading and Preprocessing the Cifar10 Dataset.vtt
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04. Convolutional Layers.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C1. Build a Machine Learning Workflow with Keras TensorFlow 2.0 (Janani Ravi, 2020)/4. Building Image Classification Models/04. Convolutional Layers.vtt
10. Demo - Using Image Transformations and Dropout.vtt
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02. Introducing Convolutional Neural Networks.vtt
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03. Convolution.vtt
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09. Demo - Training and Prediction Using a CNN.vtt
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05. Pooling Layers.vtt
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08. Demo - Designing the Convolutional Neural Network.vtt
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06. CNN Architecture.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C1. Build a Machine Learning Workflow with Keras TensorFlow 2.0 (Janani Ravi, 2020)/4. Building Image Classification Models/06. CNN Architecture.vtt
01. Drawbacks of Dense Neural Networks.vtt
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6. Implementing Custom Layers and Models
20 files • 92.54 MB
05. Demo - Accumulating Losses with Custom Layers.mp4
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03. Demo - Creating a Custom Layer.mp4
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08. Demo - Building and Training a Regression Model Using Custom Layers.mp4
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09. Demo - Building and Training a Custom Model with Custom Layers.mp4
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07. Demo - Building Custom Models.mp4
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02. Model Subclassing and Custom Layers.mp4
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06. Demo - Serializing Layers and the Training Parameter.mp4
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04. Demo - Deferring Weight Creation in a Layer.mp4
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10. Summary and Further Study.mp4
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01. Customizing Layers and Models.mp4
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03. Demo - Creating a Custom Layer.vtt
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05. Demo - Accumulating Losses with Custom Layers.vtt
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02. Model Subclassing and Custom Layers.vtt
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08. Demo - Building and Training a Regression Model Using Custom Layers.vtt
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09. Demo - Building and Training a Custom Model with Custom Layers.vtt
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07. Demo - Building Custom Models.vtt
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06. Demo - Serializing Layers and the Training Parameter.vtt
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04. Demo - Deferring Weight Creation in a Layer.vtt
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10. Summary and Further Study.vtt
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01. Customizing Layers and Models.vtt
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5. Building Unsupervised Machine Learning Models
12 files • 50.54 MB
6. Demo - Reconstructing Images Using a CNN Based Autoencoder.mp4
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3. Dimensionality Reduction Using Autoencoders.mp4
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5. Demo - Reconstructing Images Using a Stacked Autoencoder.mp4
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4. Demo - Preprocessing Images.mp4
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2. Autoencoders as Unsupervised Machine Learning.mp4
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1. Supervised vs. Unsupervised Learning.mp4
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3. Dimensionality Reduction Using Autoencoders.vtt
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6. Demo - Reconstructing Images Using a CNN Based Autoencoder.vtt
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5. Demo - Reconstructing Images Using a Stacked Autoencoder.vtt
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2. Autoencoders as Unsupervised Machine Learning.vtt
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4. Demo - Preprocessing Images.vtt
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1. Supervised vs. Unsupervised Learning.vtt
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1. Course Overview
2 files • 3.98 MB
1. Course Overview.mp4
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1. Course Overview.vtt
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playlist.m3u
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C1. Build a Machine Learning Workflow with Keras TensorFlow 2.0 (Janani Ravi, 2020)/playlist.m3u
~i.txt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C1. Build a Machine Learning Workflow with Keras TensorFlow 2.0 (Janani Ravi, 2020)/~i.txt
C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)
61 files • 237.35 MB
exercise.7z
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4. Utilizing Neural Networks
10 files • 35.29 MB
5. Recurrent Neural Networks.mp4
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4. Convolutional Model.mp4
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2. Compile and Fit.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/4. Utilizing Neural Networks/2. Compile and Fit.mp4
3. Dense Model.mp4
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1. Introduction.mp4
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5. Recurrent Neural Networks.vtt
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4. Convolutional Model.vtt
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2. Compile and Fit.vtt
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3. Dense Model.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/4. Utilizing Neural Networks/3. Dense Model.vtt
1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/4. Utilizing Neural Networks/1. Introduction.vtt
3. Building a Baseline Model
18 files • 49.66 MB
4. WindowGenerator Class.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/3. Building a Baseline Model/4. WindowGenerator Class.mp4
9. Linear Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/3. Building a Baseline Model/9. Linear Model.mp4
8. Baseline Model Class.mp4
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3. Split Data.mp4
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7. Single Step Window.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/3. Building a Baseline Model/7. Single Step Window.mp4
2. Data Preparation.mp4
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6. More Methods.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/3. Building a Baseline Model/6. More Methods.mp4
5. Additional Methods in WindowGenerator.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/3. Building a Baseline Model/5. Additional Methods in WindowGenerator.mp4
1. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/3. Building a Baseline Model/1. Introduction.mp4
4. WindowGenerator Class.vtt
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9. Linear Model.vtt
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8. Baseline Model Class.vtt
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3. Split Data.vtt
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2. Data Preparation.vtt
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7. Single Step Window.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/3. Building a Baseline Model/7. Single Step Window.vtt
6. More Methods.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/3. Building a Baseline Model/6. More Methods.vtt
5. Additional Methods in WindowGenerator.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/3. Building a Baseline Model/5. Additional Methods in WindowGenerator.vtt
1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/3. Building a Baseline Model/1. Introduction.vtt
5. Expanding the Modeling Approach
16 files • 37.68 MB
2. Predict Multiple Outputs.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/5. Expanding the Modeling Approach/2. Predict Multiple Outputs.mp4
4. Predict Multiple Periods.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/5. Expanding the Modeling Approach/4. Predict Multiple Periods.mp4
8. LSTM and Multiple Outputs.mp4
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7. CNNs and Multiple Outputs.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/5. Expanding the Modeling Approach/7. CNNs and Multiple Outputs.mp4
5. Linear Model and Multiple Periods.mp4
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3. RNN on Multiple Outputs.mp4
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6. Dense Model and Multiple Periods.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/5. Expanding the Modeling Approach/6. Dense Model and Multiple Periods.mp4
1. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/5. Expanding the Modeling Approach/1. Introduction.mp4
2. Predict Multiple Outputs.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/5. Expanding the Modeling Approach/2. Predict Multiple Outputs.vtt
4. Predict Multiple Periods.vtt
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8. LSTM and Multiple Outputs.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/5. Expanding the Modeling Approach/8. LSTM and Multiple Outputs.vtt
7. CNNs and Multiple Outputs.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/5. Expanding the Modeling Approach/7. CNNs and Multiple Outputs.vtt
5. Linear Model and Multiple Periods.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/5. Expanding the Modeling Approach/5. Linear Model and Multiple Periods.vtt
3. RNN on Multiple Outputs.vtt
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1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/5. Expanding the Modeling Approach/1. Introduction.vtt
6. Dense Model and Multiple Periods.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/5. Expanding the Modeling Approach/6. Dense Model and Multiple Periods.vtt
2. Understanding Time Series Data
12 files • 27.38 MB
6. Basic Time Series Windows.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/2. Understanding Time Series Data/6. Basic Time Series Windows.mp4
3. Evaluation Metrics.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/2. Understanding Time Series Data/3. Evaluation Metrics.mp4
5. Load Data.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/2. Understanding Time Series Data/5. Load Data.mp4
2. What Is a Time Series.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/2. Understanding Time Series Data/2. What Is a Time Series.mp4
4. Using a Hold Out.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/2. Understanding Time Series Data/4. Using a Hold Out.mp4
1. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/2. Understanding Time Series Data/1. Introduction.mp4
6. Basic Time Series Windows.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/2. Understanding Time Series Data/6. Basic Time Series Windows.vtt
3. Evaluation Metrics.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/2. Understanding Time Series Data/3. Evaluation Metrics.vtt
2. What Is a Time Series.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/2. Understanding Time Series Data/2. What Is a Time Series.vtt
4. Using a Hold Out.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/2. Understanding Time Series Data/4. Using a Hold Out.vtt
5. Load Data.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/2. Understanding Time Series Data/5. Load Data.vtt
1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/2. Understanding Time Series Data/1. Introduction.vtt
1. Course Overview
2 files • 2.96 MB
1. Course Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/1. Course Overview/1. Course Overview.mp4
1. Course Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/1. Course Overview/1. Course Overview.vtt
playlist.m3u
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/playlist.m3u
~i.txt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/C2. Implement Time Series Analysis, Forecasting and Prediction with TensorFlow 2.0 (Chase DeHan, 2020)/~i.txt
B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)
153 files • 631.34 MB
exercise.7z
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/exercise.7z
06. Preparing Data for Machine Learning Model - Part 2
16 files • 76.75 MB
3. Demo - Generating TFIDF Features.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/06. Preparing Data for Machine Learning Model - Part 2/3. Demo - Generating TFIDF Features.mp4
7. Demo - Splitting Data into Train Validation and Test Datasets.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/06. Preparing Data for Machine Learning Model - Part 2/7. Demo - Splitting Data into Train Validation and Test Datasets.mp4
2. Generating Features from Text.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/06. Preparing Data for Machine Learning Model - Part 2/2. Generating Features from Text.mp4
5. Demo - Creating Feature Dataset Using Generators.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/06. Preparing Data for Machine Learning Model - Part 2/5. Demo - Creating Feature Dataset Using Generators.mp4
6. Train Validation Test Split.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/06. Preparing Data for Machine Learning Model - Part 2/6. Train Validation Test Split.mp4
4. Function Generator.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/06. Preparing Data for Machine Learning Model - Part 2/4. Function Generator.mp4
1. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/06. Preparing Data for Machine Learning Model - Part 2/1. Introduction.mp4
8. Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/06. Preparing Data for Machine Learning Model - Part 2/8. Summary.mp4
3. Demo - Generating TFIDF Features.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/06. Preparing Data for Machine Learning Model - Part 2/3. Demo - Generating TFIDF Features.vtt
2. Generating Features from Text.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/06. Preparing Data for Machine Learning Model - Part 2/2. Generating Features from Text.vtt
7. Demo - Splitting Data into Train Validation and Test Datasets.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/06. Preparing Data for Machine Learning Model - Part 2/7. Demo - Splitting Data into Train Validation and Test Datasets.vtt
5. Demo - Creating Feature Dataset Using Generators.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/06. Preparing Data for Machine Learning Model - Part 2/5. Demo - Creating Feature Dataset Using Generators.vtt
6. Train Validation Test Split.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/06. Preparing Data for Machine Learning Model - Part 2/6. Train Validation Test Split.vtt
1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/06. Preparing Data for Machine Learning Model - Part 2/1. Introduction.vtt
4. Function Generator.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/06. Preparing Data for Machine Learning Model - Part 2/4. Function Generator.vtt
8. Summary.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/06. Preparing Data for Machine Learning Model - Part 2/8. Summary.vtt
09. Predicting Using Trained Machine Learning Model
18 files • 93.06 MB
8. Demo - Predicting Using Python Exported Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/8. Demo - Predicting Using Python Exported Model.mp4
6. Demo - Integrate Steps with UI.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/6. Demo - Integrate Steps with UI.mp4
5. Demo - Setting up Materialize UI.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/5. Demo - Setting up Materialize UI.mp4
3. Demo - Predicting Using Trained TensorFlow.js Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/3. Demo - Predicting Using Trained TensorFlow.js Model.mp4
2. Model Scoring.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/2. Model Scoring.mp4
9. Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/9. Summary.mp4
7. TensorFlow.js Converter.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/7. TensorFlow.js Converter.mp4
1. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/1. Introduction.mp4
4. Materialize UI.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/4. Materialize UI.mp4
6. Demo - Integrate Steps with UI.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/6. Demo - Integrate Steps with UI.vtt
8. Demo - Predicting Using Python Exported Model.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/8. Demo - Predicting Using Python Exported Model.vtt
5. Demo - Setting up Materialize UI.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/5. Demo - Setting up Materialize UI.vtt
3. Demo - Predicting Using Trained TensorFlow.js Model.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/3. Demo - Predicting Using Trained TensorFlow.js Model.vtt
9. Summary.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/9. Summary.vtt
2. Model Scoring.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/2. Model Scoring.vtt
7. TensorFlow.js Converter.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/7. TensorFlow.js Converter.vtt
1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/1. Introduction.vtt
4. Materialize UI.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/09. Predicting Using Trained Machine Learning Model/4. Materialize UI.vtt
05. Preparing Data for Machine Learning Model - Part 1
18 files • 68.97 MB
6. Demo - Reading Data Using TFJS Data.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/6. Demo - Reading Data Using TFJS Data.mp4
8. Demo - Visualizing Data Using TFVis.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/8. Demo - Visualizing Data Using TFVis.mp4
5. Async JS Programming.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/5. Async JS Programming.mp4
3. Toxicity Detection Use Case.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/3. Toxicity Detection Use Case.mp4
4. Working with TFJS Data.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/4. Working with TFJS Data.mp4
2. Machine Learning Workflow.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/2. Machine Learning Workflow.mp4
9. Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/9. Summary.mp4
7. Working with TFVis.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/7. Working with TFVis.mp4
1. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/1. Introduction.mp4
6. Demo - Reading Data Using TFJS Data.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/6. Demo - Reading Data Using TFJS Data.vtt
5. Async JS Programming.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/5. Async JS Programming.vtt
8. Demo - Visualizing Data Using TFVis.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/8. Demo - Visualizing Data Using TFVis.vtt
3. Toxicity Detection Use Case.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/3. Toxicity Detection Use Case.vtt
4. Working with TFJS Data.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/4. Working with TFJS Data.vtt
2. Machine Learning Workflow.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/2. Machine Learning Workflow.vtt
1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/1. Introduction.vtt
9. Summary.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/9. Summary.vtt
7. Working with TFVis.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/05. Preparing Data for Machine Learning Model - Part 1/7. Working with TFVis.vtt
03. Setting up TensorFlow.js Environment
16 files • 80.15 MB
5. Demo - Running TensorFlow.js in Browser Using NPM and Parcel.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/03. Setting up TensorFlow.js Environment/5. Demo - Running TensorFlow.js in Browser Using NPM and Parcel.mp4
6. Demo - Exploring TensorFlow.js Backends.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/03. Setting up TensorFlow.js Environment/6. Demo - Exploring TensorFlow.js Backends.mp4
7. Demo - Running TensorFlow.js in Node.js.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/03. Setting up TensorFlow.js Environment/7. Demo - Running TensorFlow.js in Node.js.mp4
3. Demo - Running TensorFlow.js in Browser with Script Tag.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/03. Setting up TensorFlow.js Environment/3. Demo - Running TensorFlow.js in Browser with Script Tag.mp4
4. TensorFlow.js in Browser Using Package Managers.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/03. Setting up TensorFlow.js Environment/4. TensorFlow.js in Browser Using Package Managers.mp4
1. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/03. Setting up TensorFlow.js Environment/1. Introduction.mp4
8. Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/03. Setting up TensorFlow.js Environment/8. Summary.mp4
2. TensorFlow.js in Browser Using Script Tag.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/03. Setting up TensorFlow.js Environment/2. TensorFlow.js in Browser Using Script Tag.mp4
5. Demo - Running TensorFlow.js in Browser Using NPM and Parcel.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/03. Setting up TensorFlow.js Environment/5. Demo - Running TensorFlow.js in Browser Using NPM and Parcel.vtt
6. Demo - Exploring TensorFlow.js Backends.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/03. Setting up TensorFlow.js Environment/6. Demo - Exploring TensorFlow.js Backends.vtt
3. Demo - Running TensorFlow.js in Browser with Script Tag.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/03. Setting up TensorFlow.js Environment/3. Demo - Running TensorFlow.js in Browser with Script Tag.vtt
7. Demo - Running TensorFlow.js in Node.js.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/03. Setting up TensorFlow.js Environment/7. Demo - Running TensorFlow.js in Node.js.vtt
4. TensorFlow.js in Browser Using Package Managers.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/03. Setting up TensorFlow.js Environment/4. TensorFlow.js in Browser Using Package Managers.vtt
1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/03. Setting up TensorFlow.js Environment/1. Introduction.vtt
8. Summary.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/03. Setting up TensorFlow.js Environment/8. Summary.vtt
2. TensorFlow.js in Browser Using Script Tag.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/03. Setting up TensorFlow.js Environment/2. TensorFlow.js in Browser Using Script Tag.vtt
11. Whats Next
2 files • 20.56 MB
1. Taking Your Journey Forward.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/11. Whats Next/1. Taking Your Journey Forward.mp4
1. Taking Your Journey Forward.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/11. Whats Next/1. Taking Your Journey Forward.vtt
10. Using Pre-trained Models with TensorFlow.js
14 files • 59.63 MB
3. Demo - Creating Features from Universal Sentence Encoder (USE) Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/10. Using Pre-trained Models with TensorFlow.js/3. Demo - Creating Features from Universal Sentence Encoder (USE) Model.mp4
4. Demo - Performing Transfer Learning on USE Encoded Features.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/10. Using Pre-trained Models with TensorFlow.js/4. Demo - Performing Transfer Learning on USE Encoded Features.mp4
6. Demo - Using TensorFlow.js Toxicity Detection Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/10. Using Pre-trained Models with TensorFlow.js/6. Demo - Using TensorFlow.js Toxicity Detection Model.mp4
2. Transfer Learning with TensorFlow.js.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/10. Using Pre-trained Models with TensorFlow.js/2. Transfer Learning with TensorFlow.js.mp4
5. Toxicity Detection Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/10. Using Pre-trained Models with TensorFlow.js/5. Toxicity Detection Model.mp4
1. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/10. Using Pre-trained Models with TensorFlow.js/1. Introduction.mp4
7. Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/10. Using Pre-trained Models with TensorFlow.js/7. Summary.mp4
3. Demo - Creating Features from Universal Sentence Encoder (USE) Model.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/10. Using Pre-trained Models with TensorFlow.js/3. Demo - Creating Features from Universal Sentence Encoder (USE) Model.vtt
6. Demo - Using TensorFlow.js Toxicity Detection Model.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/10. Using Pre-trained Models with TensorFlow.js/6. Demo - Using TensorFlow.js Toxicity Detection Model.vtt
4. Demo - Performing Transfer Learning on USE Encoded Features.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/10. Using Pre-trained Models with TensorFlow.js/4. Demo - Performing Transfer Learning on USE Encoded Features.vtt
2. Transfer Learning with TensorFlow.js.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/10. Using Pre-trained Models with TensorFlow.js/2. Transfer Learning with TensorFlow.js.vtt
5. Toxicity Detection Model.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/10. Using Pre-trained Models with TensorFlow.js/5. Toxicity Detection Model.vtt
1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/10. Using Pre-trained Models with TensorFlow.js/1. Introduction.vtt
7. Summary.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/10. Using Pre-trained Models with TensorFlow.js/7. Summary.vtt
07. Building, Training, and Evaluating Machine Learning Model
24 files • 76.96 MB
06. Demo - Training Neural Network Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/06. Demo - Training Neural Network Model.mp4
10. Demo - Visualizing Model Performance Metrics.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/10. Demo - Visualizing Model Performance Metrics.mp4
04. Demo - Building Neural Network Using Layers API.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/04. Demo - Building Neural Network Using Layers API.mp4
11. Demo - Running Training in Node.js.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/11. Demo - Running Training in Node.js.mp4
07. Demo - Visualizing Training Performance.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/07. Demo - Visualizing Training Performance.mp4
02. Neural Network Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/02. Neural Network Overview.mp4
08. Demo - Evaluating Model Performance.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/08. Demo - Evaluating Model Performance.mp4
05. Training Model Using TensorFlow.js.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/05. Training Model Using TensorFlow.js.mp4
03. Building Neural Network Using Layers API.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/03. Building Neural Network Using Layers API.mp4
01. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/01. Introduction.mp4
09. Model Performance Metrics.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/09. Model Performance Metrics.mp4
12. Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/12. Summary.mp4
02. Neural Network Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/02. Neural Network Overview.vtt
05. Training Model Using TensorFlow.js.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/05. Training Model Using TensorFlow.js.vtt
10. Demo - Visualizing Model Performance Metrics.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/10. Demo - Visualizing Model Performance Metrics.vtt
06. Demo - Training Neural Network Model.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/06. Demo - Training Neural Network Model.vtt
04. Demo - Building Neural Network Using Layers API.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/04. Demo - Building Neural Network Using Layers API.vtt
03. Building Neural Network Using Layers API.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/03. Building Neural Network Using Layers API.vtt
11. Demo - Running Training in Node.js.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/11. Demo - Running Training in Node.js.vtt
08. Demo - Evaluating Model Performance.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/08. Demo - Evaluating Model Performance.vtt
01. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/01. Introduction.vtt
07. Demo - Visualizing Training Performance.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/07. Demo - Visualizing Training Performance.vtt
09. Model Performance Metrics.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/09. Model Performance Metrics.vtt
12. Summary.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/07. Building, Training, and Evaluating Machine Learning Model/12. Summary.vtt
04. Understanding TensorFlow.js Core Concepts
16 files • 41.4 MB
5. Demo - Performing Basic Tensor Operations.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/04. Understanding TensorFlow.js Core Concepts/5. Demo - Performing Basic Tensor Operations.mp4
3. Demo - Working with Tensors.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/04. Understanding TensorFlow.js Core Concepts/3. Demo - Working with Tensors.mp4
7. Demo - Managing Memory with TensorFlow.js.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/04. Understanding TensorFlow.js Core Concepts/7. Demo - Managing Memory with TensorFlow.js.mp4
2. Tensor Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/04. Understanding TensorFlow.js Core Concepts/2. Tensor Overview.mp4
6. Managing Memory with TensorFlow.js.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/04. Understanding TensorFlow.js Core Concepts/6. Managing Memory with TensorFlow.js.mp4
1. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/04. Understanding TensorFlow.js Core Concepts/1. Introduction.mp4
4. Basic Tensor Operations.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/04. Understanding TensorFlow.js Core Concepts/4. Basic Tensor Operations.mp4
8. Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/04. Understanding TensorFlow.js Core Concepts/8. Summary.mp4
5. Demo - Performing Basic Tensor Operations.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/04. Understanding TensorFlow.js Core Concepts/5. Demo - Performing Basic Tensor Operations.vtt
2. Tensor Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/04. Understanding TensorFlow.js Core Concepts/2. Tensor Overview.vtt
6. Managing Memory with TensorFlow.js.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/04. Understanding TensorFlow.js Core Concepts/6. Managing Memory with TensorFlow.js.vtt
3. Demo - Working with Tensors.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/04. Understanding TensorFlow.js Core Concepts/3. Demo - Working with Tensors.vtt
1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/04. Understanding TensorFlow.js Core Concepts/1. Introduction.vtt
7. Demo - Managing Memory with TensorFlow.js.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/04. Understanding TensorFlow.js Core Concepts/7. Demo - Managing Memory with TensorFlow.js.vtt
8. Summary.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/04. Understanding TensorFlow.js Core Concepts/8. Summary.vtt
4. Basic Tensor Operations.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/04. Understanding TensorFlow.js Core Concepts/4. Basic Tensor Operations.vtt
08. Saving and Loading Machine Learning Model
12 files • 22.01 MB
3. Demo - Exporting Trained Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/08. Saving and Loading Machine Learning Model/3. Demo - Exporting Trained Model.mp4
5. Demo - Loading Trained TensorFlow.js Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/08. Saving and Loading Machine Learning Model/5. Demo - Loading Trained TensorFlow.js Model.mp4
2. Model Export Options.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/08. Saving and Loading Machine Learning Model/2. Model Export Options.mp4
6. Summary.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/08. Saving and Loading Machine Learning Model/6. Summary.mp4
4. Load Model.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/08. Saving and Loading Machine Learning Model/4. Load Model.mp4
1. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/08. Saving and Loading Machine Learning Model/1. Introduction.mp4
3. Demo - Exporting Trained Model.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/08. Saving and Loading Machine Learning Model/3. Demo - Exporting Trained Model.vtt
2. Model Export Options.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/08. Saving and Loading Machine Learning Model/2. Model Export Options.vtt
5. Demo - Loading Trained TensorFlow.js Model.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/08. Saving and Loading Machine Learning Model/5. Demo - Loading Trained TensorFlow.js Model.vtt
6. Summary.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/08. Saving and Loading Machine Learning Model/6. Summary.vtt
4. Load Model.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/08. Saving and Loading Machine Learning Model/4. Load Model.vtt
1. Introduction.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/08. Saving and Loading Machine Learning Model/1. Introduction.vtt
02. Introduction
12 files • 31.23 MB
1. Introduction.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/02. Introduction/1. Introduction.mp4
5. Course Demo.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/02. Introduction/5. Course Demo.mp4
2. Why TensorFlow.js.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B3. Building Machine Learning Solutions with TensorFlow.js (Abhishek Kumar, 2020)/02. Introduction/2. Why TensorFlow.js.mp4
4. TensorFlow.js Overview.mp4
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6. Course Structure.mp4
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5. Course Demo.vtt
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2. Why TensorFlow.js.vtt
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1. Introduction.vtt
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4. TensorFlow.js Overview.vtt
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3. TensorFlow.js Performance.vtt
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6. Course Structure.vtt
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01. Course Overview
2 files • 5.46 MB
1. Course Overview.mp4
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playlist.m3u
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~i.txt
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B1. Designing Data Pipelines with TensorFlow 2.0 (Chase DeHan, 2020)
53 files • 285.92 MB
4. Prepping Data
12 files • 86.53 MB
2. Feature Engineering with pandas.mp4
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5. Image Data Augmentation.mp4
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4. Load Image Data.mp4
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3. Using Zip and Map.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B1. Designing Data Pipelines with TensorFlow 2.0 (Chase DeHan, 2020)/4. Prepping Data/3. Using Zip and Map.mp4
1. Introduction.mp4
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6. Conclusion.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B1. Designing Data Pipelines with TensorFlow 2.0 (Chase DeHan, 2020)/4. Prepping Data/6. Conclusion.mp4
2. Feature Engineering with pandas.vtt
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5. Image Data Augmentation.vtt
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4. Load Image Data.vtt
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3. Using Zip and Map.vtt
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1. Introduction.vtt
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6. Conclusion.vtt
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3. Loading Data in TensorFlow
14 files • 96.76 MB
3. Load from NumPy and pandas.mp4
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2. Load from CSV.mp4
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4. TFExample.mp4
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5. TFRecord.mp4
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6. Load Image Data.mp4
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1. Introduction.mp4
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7. Conclusion.mp4
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4. TFExample.vtt
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2. Load from CSV.vtt
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5. TFRecord.vtt
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6. Load Image Data.vtt
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1. Introduction.vtt
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7. Conclusion.vtt
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2. Evaluating TensorFlow Capabilities
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4. Data Pipeline and Model Training.mp4
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2. TensorFlow 2.0 Introduction.mp4
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3. Migrating to TensorFlow 2.0.mp4
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1. Introduction.mp4
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5. Conclusion.mp4
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2. TensorFlow 2.0 Introduction.vtt
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3. Migrating to TensorFlow 2.0.vtt
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1. Introduction.vtt
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5. Conclusion.vtt
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5. Optimizing Performance of Pipelines
12 files • 59.25 MB
3. Use Keras Sequential API.mp4
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2. Prep Data for Model Training.mp4
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4. Batching and Prefetching.mp4
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5. Parallelizing Data Extraction.mp4
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1. Introduction.mp4
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6. Conclusion.mp4
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5. Parallelizing Data Extraction.vtt
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3. Use Keras Sequential API.vtt
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2. Prep Data for Model Training.vtt
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4. Batching and Prefetching.vtt
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1. Introduction.vtt
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6. Conclusion.vtt
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exercise.7z
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1. Course Overview
2 files • 3.11 MB
1. Course Overview.mp4
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1. Course Overview.vtt
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~i.txt
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playlist.m3u
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A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)
79 files • 386.52 MB
5. Using the Sequential API in Keras
10 files • 71.15 MB
2. Demo - Exploring and Processing the Life Expectancy Dataset.mp4
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4. Demo - TensorBoard to Visualize the Training Process.mp4
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5. Demo - Configuring Optimizers and Activation Functions.mp4
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3. Demo - Building and Training a Sequential Model.mp4
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1. Introducing the Sequential API in Keras.mp4
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4. Demo - TensorBoard to Visualize the Training Process.vtt
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1. Introducing the Sequential API in Keras.vtt
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5. Demo - Configuring Optimizers and Activation Functions.vtt
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3. Demo - Building and Training a Sequential Model.vtt
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4. Computing Gradients for Model Training
16 files • 77.7 MB
7. Demo - Simple Regression Using Gradient Calculation.mp4
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6. Demo - Understanding Gradient Tape Operations.mp4
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1. Gradient Descent.mp4
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3. Calculating Gradients Using Gradient Tape.mp4
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5. Demo - Gradient Tape for Gradient Calculations.mp4
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8. Demo - Simple Regression with a Sequential Model.mp4
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4. Reverse Mode Automatic Differentiation.mp4
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2. Forward and Backward Passes.mp4
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7. Demo - Simple Regression Using Gradient Calculation.vtt
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1. Gradient Descent.vtt
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6. Demo - Understanding Gradient Tape Operations.vtt
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5. Demo - Gradient Tape for Gradient Calculations.vtt
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4. Reverse Mode Automatic Differentiation.vtt
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8. Demo - Simple Regression with a Sequential Model.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/4. Computing Gradients for Model Training/8. Demo - Simple Regression with a Sequential Model.vtt
2. Forward and Backward Passes.vtt
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6. Using the Functional API and Model Subclassing in Keras
12 files • 61.43 MB
3. Demo - Building a Model Using the Keras Functional API.mp4
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5. Demo - Building and Training a Multi Class Classification Model Using Model Subclassi.mp4
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2. Demo - Exploring the Heart Disease Dataset.mp4
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4. Demo - Exploring and Processing the Wine Dataset.mp4
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1. The Functional API and Model Subclassing.mp4
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6. Summary and Further Study.mp4
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3. Demo - Building a Model Using the Keras Functional API.vtt
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5. Demo - Building and Training a Multi Class Classification Model Using Model Subclassi.vtt
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2. Demo - Exploring the Heart Disease Dataset.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/6. Using the Functional API and Model Subclassing in Keras/2. Demo - Exploring the Heart Disease Dataset.vtt
1. The Functional API and Model Subclassing.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/6. Using the Functional API and Model Subclassing in Keras/1. The Functional API and Model Subclassing.vtt
4. Demo - Exploring and Processing the Wine Dataset.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/6. Using the Functional API and Model Subclassing in Keras/4. Demo - Exploring and Processing the Wine Dataset.vtt
6. Summary and Further Study.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/6. Using the Functional API and Model Subclassing in Keras/6. Summary and Further Study.vtt
3. Understanding Dynamic and Static Computation Graphs
18 files • 92.45 MB
3. Demo - TensorFlow V1 Sessions to Execute Static Computation Graphs.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/3. Demo - TensorFlow V1 Sessions to Execute Static Computation Graphs.mp4
6. tf.function.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/6. tf.function.mp4
2. Static and Dynamic Computation Graphs.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/2. Static and Dynamic Computation Graphs.mp4
7. Demo - Running in Graph Mode Using @tf.function.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/7. Demo - Running in Graph Mode Using @tf.function.mp4
9. Demo - Instantiating Variables in Graph Mode.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/9. Demo - Instantiating Variables in Graph Mode.mp4
8. Demo - Statements with Python Side Effects in Graph Mode.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/8. Demo - Statements with Python Side Effects in Graph Mode.mp4
5. Demo - Eager Execution.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/5. Demo - Eager Execution.mp4
1. The Computation Graph.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/1. The Computation Graph.mp4
4. Demo - TensorBoard to Visualize Graphs.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/4. Demo - TensorBoard to Visualize Graphs.mp4
2. Static and Dynamic Computation Graphs.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/2. Static and Dynamic Computation Graphs.vtt
6. tf.function.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/6. tf.function.vtt
3. Demo - TensorFlow V1 Sessions to Execute Static Computation Graphs.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/3. Demo - TensorFlow V1 Sessions to Execute Static Computation Graphs.vtt
7. Demo - Running in Graph Mode Using @tf.function.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/7. Demo - Running in Graph Mode Using @tf.function.vtt
9. Demo - Instantiating Variables in Graph Mode.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/9. Demo - Instantiating Variables in Graph Mode.vtt
8. Demo - Statements with Python Side Effects in Graph Mode.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/8. Demo - Statements with Python Side Effects in Graph Mode.vtt
5. Demo - Eager Execution.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/5. Demo - Eager Execution.vtt
1. The Computation Graph.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/1. The Computation Graph.vtt
4. Demo - TensorBoard to Visualize Graphs.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/3. Understanding Dynamic and Static Computation Graphs/4. Demo - TensorBoard to Visualize Graphs.vtt
2. Exploring the TensorFlow 2.0 Framework
18 files • 76.57 MB
5. Neurons and Activation Functions.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/5. Neurons and Activation Functions.mp4
7. Demo - Tensors and Tensor Operations.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/7. Demo - Tensors and Tensor Operations.mp4
3. TensorFlow 1.x vs. TensorFlow 2.0.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/3. TensorFlow 1.x vs. TensorFlow 2.0.mp4
8. Demo - Variables.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/8. Demo - Variables.mp4
6. Demo - Install and Set up TensorFlow.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/6. Demo - Install and Set up TensorFlow.mp4
4. Introducing Neural Networks.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/4. Introducing Neural Networks.mp4
2. Prerequisites and Course Outline.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/2. Prerequisites and Course Outline.mp4
9. TensorFlow and Keras.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/9. TensorFlow and Keras.mp4
1. Version Check.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/1. Version Check.mp4
5. Neurons and Activation Functions.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/5. Neurons and Activation Functions.vtt
3. TensorFlow 1.x vs. TensorFlow 2.0.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/3. TensorFlow 1.x vs. TensorFlow 2.0.vtt
7. Demo - Tensors and Tensor Operations.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/7. Demo - Tensors and Tensor Operations.vtt
8. Demo - Variables.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/8. Demo - Variables.vtt
4. Introducing Neural Networks.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/4. Introducing Neural Networks.vtt
6. Demo - Install and Set up TensorFlow.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/6. Demo - Install and Set up TensorFlow.vtt
2. Prerequisites and Course Outline.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/2. Prerequisites and Course Outline.vtt
9. TensorFlow and Keras.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/9. TensorFlow and Keras.vtt
1. Version Check.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/2. Exploring the TensorFlow 2.0 Framework/1. Version Check.vtt
1. Course Overview
2 files • 4.25 MB
1. Course Overview.mp4
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.mp4
1. Course Overview.vtt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/1. Course Overview/1. Course Overview.vtt
exercise.7z
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/exercise.7z
playlist.m3u
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/playlist.m3u
~i.txt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A1. Getting Started with TensorFlow 2.0 (Janani Ravi, 2020)/~i.txt
A2. Installation Guide for TensorFlow 2.0 (Omotayo Aina, 2020).chm
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/A2. Installation Guide for TensorFlow 2.0 (Omotayo Aina, 2020).chm
B2. Implement Hyperparameter Tuning for TensorFlow 2.0 (Gaurav Singhal, 2020).chm
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/B2. Implement Hyperparameter Tuning for TensorFlow 2.0 (Gaurav Singhal, 2020).chm
scr.png
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/scr.png
~i.txt
_TensorFlow/Pluralsight Path. Building Machine Learning Solutions with TensorFlow 2.0 (2020)/~i.txt
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