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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
| 0 |
7б |
| 001 Automatic Diffrenciation.en.srt |
4.75Кб |
| 001 Automatic Diffrenciation.mp4 |
15.57Мб |
| 001 Further Readings and Resourses 1.en.srt |
11.95Кб |
| 001 Further Readings and Resourses 1.mp4 |
70.33Мб |
| 001 Human Activity Recognition.en.srt |
9.35Кб |
| 001 Human Activity Recognition.mp4 |
50.98Мб |
| 001 Introduction.en.srt |
13.04Кб |
| 001 Introduction.mp4 |
53.46Мб |
| 001 Introduction to Better RNNs Module.en.srt |
8.26Кб |
| 001 Introduction to Better RNNs Module.mp4 |
31.19Мб |
| 001 Introduction to Deep Learning Module.en.srt |
4.35Кб |
| 001 Introduction to Deep Learning Module.mp4 |
11.10Мб |
| 001 Introduction to Gradient Descent Module.en.srt |
9.42Кб |
| 001 Introduction to Gradient Descent Module.mp4 |
32.17Мб |
| 001 Introduction to Instructor and Aisciences.en.srt |
14.58Кб |
| 001 Introduction to Instructor and Aisciences.mp4 |
54.73Мб |
| 001 Introduction to Module.en.srt |
7.18Кб |
| 001 Introduction to Module.mp4 |
19.88Мб |
| 001 Introduction to TensorFlow.en.srt |
12.26Кб |
| 001 Introduction to TensorFlow.mp4 |
42.72Мб |
| 001 Problem Statement.en.srt |
7.40Кб |
| 001 Problem Statement.mp4 |
20.87Мб |
| 001 THANK YOU Bonus Video.en.srt |
2.64Кб |
| 001 THANK YOU Bonus Video.mp4 |
29.69Мб |
| 001 Vocabulary Implementation.en.srt |
10.07Кб |
| 001 Vocabulary Implementation.mp4 |
72.87Мб |
| 002 Automatic Diffrenciation Pytorch.en.srt |
9.96Кб |
| 002 Automatic Diffrenciation Pytorch.mp4 |
34.07Мб |
| 002 Data Mapping.en.srt |
17.44Кб |
| 002 Data Mapping.mp4 |
73.37Мб |
| 002 Data Set.en.srt |
11.70Кб |
| 002 Data Set.mp4 |
63.80Мб |
| 002 Example Setup.en.srt |
9.23Кб |
| 002 Example Setup.mp4 |
26.85Мб |
| 002 Fixed Length Memory Model.en.srt |
10.48Кб |
| 002 Fixed Length Memory Model.mp4 |
49.73Мб |
| 002 Focus of the Course.en.srt |
11.13Кб |
| 002 Focus of the Course.mp4 |
32.86Мб |
| 002 Image Captioning.en.srt |
7.53Кб |
| 002 Image Captioning.mp4 |
58.71Мб |
| 002 Introduction Vanishing Gradients in RNN.en.srt |
9.39Кб |
| 002 Introduction Vanishing Gradients in RNN.mp4 |
45.55Мб |
| 002 Neuron and Perceptron.en.srt |
13.16Кб |
| 002 Neuron and Perceptron.mp4 |
70.93Мб |
| 002 TensorFlow Text Classification Example using RNN.en.srt |
31.73Кб |
| 002 TensorFlow Text Classification Example using RNN.mp4 |
130.38Мб |
| 002 Vocabulary Implementation Helpers.en.srt |
5.07Кб |
| 002 Vocabulary Implementation Helpers.mp4 |
35.53Мб |
| 003 Data Prepration.en.srt |
19.38Кб |
| 003 Data Prepration.mp4 |
77.41Мб |
| 003 DNN Architecture.en.srt |
9.76Кб |
| 003 DNN Architecture.mp4 |
40.19Мб |
| 003 Equations.en.srt |
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| 003 Equations.mp4 |
37.14Мб |
| 003 GRU.en.srt |
13.29Кб |
| 003 GRU.mp4 |
57.48Мб |
| 003 Infinite Memory Architecture.en.srt |
11.56Кб |
| 003 Infinite Memory Architecture.mp4 |
59.79Мб |
| 003 Language Modeling Next Word Prediction Vocabulary Index.en.srt |
4.29Кб |
| 003 Language Modeling Next Word Prediction Vocabulary Index.mp4 |
20.08Мб |
| 003 Machine Translation.en.srt |
9.76Кб |
| 003 Machine Translation.mp4 |
46.92Мб |
| 003 Modling RNN Architecture.en.srt |
20.75Кб |
| 003 Modling RNN Architecture.mp4 |
75.20Мб |
| 003 Request for Your Honest Review.en.srt |
2.50Кб |
| 003 Request for Your Honest Review.mp4 |
28.67Мб |
| 003 Vocabulary Implementation From File.en.srt |
6.68Кб |
| 003 Vocabulary Implementation From File.mp4 |
41.59Мб |
| 004 FeedForward FullyConnected MLP.en.srt |
5.73Кб |
| 004 FeedForward FullyConnected MLP.mp4 |
25.18Мб |
| 004 GRU Optional.en.srt |
6.88Кб |
| 004 GRU Optional.mp4 |
27.75Мб |
| 004 Language Modeling Next Word Prediction Vocabulary Index Embeddings.en.srt |
3.92Кб |
| 004 Language Modeling Next Word Prediction Vocabulary Index Embeddings.mp4 |
19.54Мб |
| 004 Link to oneDrive and Github to get the Python Notebooks.html |
2.34Кб |
| 004 Loss Function.en.srt |
9.25Кб |
| 004 Loss Function.mp4 |
42.77Мб |
| 004 Modling RNN Model in TensorFlow.en.srt |
12.26Кб |
| 004 Modling RNN Model in TensorFlow.mp4 |
49.08Мб |
| 004 RNN Model Training and Evaluation.en.srt |
20.37Кб |
| 004 RNN Model Training and Evaluation.mp4 |
114.05Мб |
| 004 Speech Recognition.en.srt |
6.84Кб |
| 004 Speech Recognition.mp4 |
41.20Мб |
| 004 Vectorizer.en.srt |
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| 004 Vectorizer.mp4 |
26.32Мб |
| 004 Weight Sharing.en.srt |
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| 004 Weight Sharing.mp4 |
77.56Мб |
| 005 Activity.en.srt |
7.14Кб |
| 005 Activity.mp4 |
25.37Мб |
| 005 Calculating Number of Weights of DNN.en.srt |
7.61Кб |
| 005 Calculating Number of Weights of DNN.mp4 |
33.29Мб |
| 005 Language Modeling Next Word Prediction RNN Architecture.en.srt |
4.85Кб |
| 005 Language Modeling Next Word Prediction RNN Architecture.mp4 |
19.05Мб |
| 005 LSTM.en.srt |
9.32Кб |
| 005 LSTM.mp4 |
36.70Мб |
| 005 Modling RNN Model Training.en.srt |
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| 005 Modling RNN Model Training.mp4 |
38.97Мб |
| 005 Notations.en.srt |
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| 005 Notations.mp4 |
45.89Мб |
| 005 RNN Setup 1.en.srt |
7.42Кб |
| 005 RNN Setup 1.mp4 |
49.08Мб |
| 005 Stock Price Predictions.en.srt |
7.64Кб |
| 005 Stock Price Predictions.mp4 |
63.16Мб |
| 005 Why Gradients.en.srt |
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| 005 Why Gradients.mp4 |
32.62Мб |
| 006 Chain Rule.en.srt |
8.26Кб |
| 006 Chain Rule.mp4 |
42.01Мб |
| 006 Language Modeling Next Word Prediction Python 1.en.srt |
7.58Кб |
| 006 Language Modeling Next Word Prediction Python 1.mp4 |
36.35Мб |
| 006 LSTM Optional.en.srt |
6.50Кб |
| 006 LSTM Optional.mp4 |
26.29Мб |
| 006 ManyToMany Model.en.srt |
13.42Кб |
| 006 ManyToMany Model.mp4 |
51.78Мб |
| 006 Modling RNN Model Text Generation.en.srt |
14.21Кб |
| 006 Modling RNN Model Text Generation.mp4 |
72.55Мб |
| 006 Number of Nuerons vs Number of Layers.en.srt |
11.33Кб |
| 006 Number of Nuerons vs Number of Layers.mp4 |
33.48Мб |
| 006 RNN Setup 2.en.srt |
25.55Кб |
| 006 RNN Setup 2.mp4 |
169.77Мб |
| 006 When to Model RNN.en.srt |
22.75Кб |
| 006 When to Model RNN.mp4 |
96.49Мб |
| 007 Activity.en.srt |
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| 007 Activity.en.srt |
3.04Кб |
| 007 Activity.mp4 |
37.09Мб |
| 007 Activity.mp4 |
14.83Мб |
| 007 Bidirectional RNN.en.srt |
8.72Кб |
| 007 Bidirectional RNN.mp4 |
42.25Мб |
| 007 Chain Rule in Action.en.srt |
6.79Кб |
| 007 Chain Rule in Action.mp4 |
36.89Мб |
| 007 Discriminative vs Generative Learning.en.srt |
6.11Кб |
| 007 Discriminative vs Generative Learning.mp4 |
35.59Мб |
| 007 Language Modeling Next Word Prediction Python 2.en.srt |
8.71Кб |
| 007 Language Modeling Next Word Prediction Python 2.mp4 |
49.31Мб |
| 007 OneToMany Model.en.srt |
8.90Кб |
| 007 OneToMany Model.mp4 |
39.99Мб |
| 007 WhatNext.en.srt |
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| 007 WhatNext.mp4 |
23.20Мб |
| 008 Attention Model.en.srt |
11.66Кб |
| 008 Attention Model.mp4 |
54.69Мб |
| 008 BackPropagation Through Time.en.srt |
10.49Кб |
| 008 BackPropagation Through Time.mp4 |
71.16Мб |
| 008 Language Modeling Next Word Prediction Python 3.en.srt |
7.71Кб |
| 008 Language Modeling Next Word Prediction Python 3.mp4 |
54.01Мб |
| 008 ManyToOne Model.en.srt |
6.20Кб |
| 008 ManyToOne Model.mp4 |
29.84Мб |
| 008 Universal Approximation Therorem.en.srt |
7.99Кб |
| 008 Universal Approximation Therorem.mp4 |
48.82Мб |
| 009 Activity.en.srt |
2.46Кб |
| 009 Activity.mp4 |
8.59Мб |
| 009 Activity Many to One.en.srt |
7.70Кб |
| 009 Activity Many to One.mp4 |
32.35Мб |
| 009 Attention Model Optional.en.srt |
6.88Кб |
| 009 Attention Model Optional.mp4 |
36.94Мб |
| 009 Language Modeling Next Word Prediction Python 4.en.srt |
5.52Кб |
| 009 Language Modeling Next Word Prediction Python 4.mp4 |
32.48Мб |
| 009 Why Depth.en.srt |
5.12Кб |
| 009 Why Depth.mp4 |
18.07Мб |
| 010 Decision Boundary in DNN.en.srt |
6.95Кб |
| 010 Decision Boundary in DNN.mp4 |
33.32Мб |
| 010 Language Modeling Next Word Prediction Python 5.en.srt |
4.65Кб |
| 010 Language Modeling Next Word Prediction Python 5.mp4 |
25.19Мб |
| 010 ManyToMany Different Sizes Model.en.srt |
10.32Кб |
| 010 ManyToMany Different Sizes Model.mp4 |
58.87Мб |
| 011 Activity Many to Many Nmt.en.srt |
5.62Кб |
| 011 Activity Many to Many Nmt.mp4 |
25.14Мб |
| 011 Bias Term.en.srt |
6.47Кб |
| 011 Bias Term.mp4 |
43.19Мб |
| 011 Language Modeling Next Word Prediction Python 6.en.srt |
15.24Кб |
| 011 Language Modeling Next Word Prediction Python 6.mp4 |
90.25Мб |
| 012 Activation Function.en.srt |
9.68Кб |
| 012 Activation Function.mp4 |
43.02Мб |
| 012 Models Summary.en.srt |
3.99Кб |
| 012 Models Summary.mp4 |
21.10Мб |
| 013 Deep RNNs.en.srt |
9.43Кб |
| 013 Deep RNNs.mp4 |
40.68Мб |
| 013 DNN Training Parameters.en.srt |
13.14Кб |
| 013 DNN Training Parameters.mp4 |
52.16Мб |
| 014 Gradient Descent.en.srt |
9.91Кб |
| 014 Gradient Descent.mp4 |
40.67Мб |
| 015 Backpropagation.en.srt |
14.37Кб |
| 015 Backpropagation.mp4 |
55.83Мб |
| 016 Training DNN Animantion.en.srt |
4.31Кб |
| 016 Training DNN Animantion.mp4 |
48.05Мб |
| 017 Weigth Initialization.en.srt |
12.38Кб |
| 017 Weigth Initialization.mp4 |
63.48Мб |
| 018 Batch miniBatch Stocastic.en.srt |
11.11Кб |
| 018 Batch miniBatch Stocastic.mp4 |
53.57Мб |
| 019 Batch Normalization.en.srt |
6.70Кб |
| 019 Batch Normalization.mp4 |
33.94Мб |
| 020 Rprop Momentum.en.srt |
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| 020 Rprop Momentum.mp4 |
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| 021 Convergence Animation.en.srt |
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| 021 Convergence Animation.mp4 |
47.67Мб |
| 022 DropOut EarlyStopping Hyperparameters.en.srt |
17.28Кб |
| 022 DropOut EarlyStopping Hyperparameters.mp4 |
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