Torrent Info
Title Deep Learning Recurrent Neural Networks with Python
Category
Size 4.46GB

Files List
Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here.
[TGx]Downloaded from torrentgalaxy.to .txt 585B
0 7B
001 Automatic Diffrenciation.en.srt 4.75KB
001 Automatic Diffrenciation.mp4 15.57MB
001 Further Readings and Resourses 1.en.srt 11.95KB
001 Further Readings and Resourses 1.mp4 70.33MB
001 Human Activity Recognition.en.srt 9.35KB
001 Human Activity Recognition.mp4 50.98MB
001 Introduction.en.srt 13.04KB
001 Introduction.mp4 53.46MB
001 Introduction to Better RNNs Module.en.srt 8.26KB
001 Introduction to Better RNNs Module.mp4 31.19MB
001 Introduction to Deep Learning Module.en.srt 4.35KB
001 Introduction to Deep Learning Module.mp4 11.10MB
001 Introduction to Gradient Descent Module.en.srt 9.42KB
001 Introduction to Gradient Descent Module.mp4 32.17MB
001 Introduction to Instructor and Aisciences.en.srt 14.58KB
001 Introduction to Instructor and Aisciences.mp4 54.73MB
001 Introduction to Module.en.srt 7.18KB
001 Introduction to Module.mp4 19.88MB
001 Introduction to TensorFlow.en.srt 12.26KB
001 Introduction to TensorFlow.mp4 42.72MB
001 Problem Statement.en.srt 7.40KB
001 Problem Statement.mp4 20.87MB
001 THANK YOU Bonus Video.en.srt 2.64KB
001 THANK YOU Bonus Video.mp4 29.69MB
001 Vocabulary Implementation.en.srt 10.07KB
001 Vocabulary Implementation.mp4 72.87MB
002 Automatic Diffrenciation Pytorch.en.srt 9.96KB
002 Automatic Diffrenciation Pytorch.mp4 34.07MB
002 Data Mapping.en.srt 17.44KB
002 Data Mapping.mp4 73.37MB
002 Data Set.en.srt 11.70KB
002 Data Set.mp4 63.80MB
002 Example Setup.en.srt 9.23KB
002 Example Setup.mp4 26.85MB
002 Fixed Length Memory Model.en.srt 10.48KB
002 Fixed Length Memory Model.mp4 49.73MB
002 Focus of the Course.en.srt 11.13KB
002 Focus of the Course.mp4 32.86MB
002 Image Captioning.en.srt 7.53KB
002 Image Captioning.mp4 58.71MB
002 Introduction Vanishing Gradients in RNN.en.srt 9.39KB
002 Introduction Vanishing Gradients in RNN.mp4 45.55MB
002 Neuron and Perceptron.en.srt 13.16KB
002 Neuron and Perceptron.mp4 70.93MB
002 TensorFlow Text Classification Example using RNN.en.srt 31.73KB
002 TensorFlow Text Classification Example using RNN.mp4 130.38MB
002 Vocabulary Implementation Helpers.en.srt 5.07KB
002 Vocabulary Implementation Helpers.mp4 35.53MB
003 Data Prepration.en.srt 19.38KB
003 Data Prepration.mp4 77.41MB
003 DNN Architecture.en.srt 9.76KB
003 DNN Architecture.mp4 40.19MB
003 Equations.en.srt 6.27KB
003 Equations.mp4 37.14MB
003 GRU.en.srt 13.29KB
003 GRU.mp4 57.48MB
003 Infinite Memory Architecture.en.srt 11.56KB
003 Infinite Memory Architecture.mp4 59.79MB
003 Language Modeling Next Word Prediction Vocabulary Index.en.srt 4.29KB
003 Language Modeling Next Word Prediction Vocabulary Index.mp4 20.08MB
003 Machine Translation.en.srt 9.76KB
003 Machine Translation.mp4 46.92MB
003 Modling RNN Architecture.en.srt 20.75KB
003 Modling RNN Architecture.mp4 75.20MB
003 Request for Your Honest Review.en.srt 2.50KB
003 Request for Your Honest Review.mp4 28.67MB
003 Vocabulary Implementation From File.en.srt 6.68KB
003 Vocabulary Implementation From File.mp4 41.59MB
004 FeedForward FullyConnected MLP.en.srt 5.73KB
004 FeedForward FullyConnected MLP.mp4 25.18MB
004 GRU Optional.en.srt 6.88KB
004 GRU Optional.mp4 27.75MB
004 Language Modeling Next Word Prediction Vocabulary Index Embeddings.en.srt 3.92KB
004 Language Modeling Next Word Prediction Vocabulary Index Embeddings.mp4 19.54MB
004 Link to oneDrive and Github to get the Python Notebooks.html 2.34KB
004 Loss Function.en.srt 9.25KB
004 Loss Function.mp4 42.77MB
004 Modling RNN Model in TensorFlow.en.srt 12.26KB
004 Modling RNN Model in TensorFlow.mp4 49.08MB
004 RNN Model Training and Evaluation.en.srt 20.37KB
004 RNN Model Training and Evaluation.mp4 114.05MB
004 Speech Recognition.en.srt 6.84KB
004 Speech Recognition.mp4 41.20MB
004 Vectorizer.en.srt 5.45KB
004 Vectorizer.mp4 26.32MB
004 Weight Sharing.en.srt 16.00KB
004 Weight Sharing.mp4 77.56MB
005 Activity.en.srt 7.14KB
005 Activity.mp4 25.37MB
005 Calculating Number of Weights of DNN.en.srt 7.61KB
005 Calculating Number of Weights of DNN.mp4 33.29MB
005 Language Modeling Next Word Prediction RNN Architecture.en.srt 4.85KB
005 Language Modeling Next Word Prediction RNN Architecture.mp4 19.05MB
005 LSTM.en.srt 9.32KB
005 LSTM.mp4 36.70MB
005 Modling RNN Model Training.en.srt 8.68KB
005 Modling RNN Model Training.mp4 38.97MB
005 Notations.en.srt 9.30KB
005 Notations.mp4 45.89MB
005 RNN Setup 1.en.srt 7.42KB
005 RNN Setup 1.mp4 49.08MB
005 Stock Price Predictions.en.srt 7.64KB
005 Stock Price Predictions.mp4 63.16MB
005 Why Gradients.en.srt 7.08KB
005 Why Gradients.mp4 32.62MB
006 Chain Rule.en.srt 8.26KB
006 Chain Rule.mp4 42.01MB
006 Language Modeling Next Word Prediction Python 1.en.srt 7.58KB
006 Language Modeling Next Word Prediction Python 1.mp4 36.35MB
006 LSTM Optional.en.srt 6.50KB
006 LSTM Optional.mp4 26.29MB
006 ManyToMany Model.en.srt 13.42KB
006 ManyToMany Model.mp4 51.78MB
006 Modling RNN Model Text Generation.en.srt 14.21KB
006 Modling RNN Model Text Generation.mp4 72.55MB
006 Number of Nuerons vs Number of Layers.en.srt 11.33KB
006 Number of Nuerons vs Number of Layers.mp4 33.48MB
006 RNN Setup 2.en.srt 25.55KB
006 RNN Setup 2.mp4 169.77MB
006 When to Model RNN.en.srt 22.75KB
006 When to Model RNN.mp4 96.49MB
007 Activity.en.srt 8.40KB
007 Activity.en.srt 3.04KB
007 Activity.mp4 37.09MB
007 Activity.mp4 14.83MB
007 Bidirectional RNN.en.srt 8.72KB
007 Bidirectional RNN.mp4 42.25MB
007 Chain Rule in Action.en.srt 6.79KB
007 Chain Rule in Action.mp4 36.89MB
007 Discriminative vs Generative Learning.en.srt 6.11KB
007 Discriminative vs Generative Learning.mp4 35.59MB
007 Language Modeling Next Word Prediction Python 2.en.srt 8.71KB
007 Language Modeling Next Word Prediction Python 2.mp4 49.31MB
007 OneToMany Model.en.srt 8.90KB
007 OneToMany Model.mp4 39.99MB
007 WhatNext.en.srt 4.16KB
007 WhatNext.mp4 23.20MB
008 Attention Model.en.srt 11.66KB
008 Attention Model.mp4 54.69MB
008 BackPropagation Through Time.en.srt 10.49KB
008 BackPropagation Through Time.mp4 71.16MB
008 Language Modeling Next Word Prediction Python 3.en.srt 7.71KB
008 Language Modeling Next Word Prediction Python 3.mp4 54.01MB
008 ManyToOne Model.en.srt 6.20KB
008 ManyToOne Model.mp4 29.84MB
008 Universal Approximation Therorem.en.srt 7.99KB
008 Universal Approximation Therorem.mp4 48.82MB
009 Activity.en.srt 2.46KB
009 Activity.mp4 8.59MB
009 Activity Many to One.en.srt 7.70KB
009 Activity Many to One.mp4 32.35MB
009 Attention Model Optional.en.srt 6.88KB
009 Attention Model Optional.mp4 36.94MB
009 Language Modeling Next Word Prediction Python 4.en.srt 5.52KB
009 Language Modeling Next Word Prediction Python 4.mp4 32.48MB
009 Why Depth.en.srt 5.12KB
009 Why Depth.mp4 18.07MB
010 Decision Boundary in DNN.en.srt 6.95KB
010 Decision Boundary in DNN.mp4 33.32MB
010 Language Modeling Next Word Prediction Python 5.en.srt 4.65KB
010 Language Modeling Next Word Prediction Python 5.mp4 25.19MB
010 ManyToMany Different Sizes Model.en.srt 10.32KB
010 ManyToMany Different Sizes Model.mp4 58.87MB
011 Activity Many to Many Nmt.en.srt 5.62KB
011 Activity Many to Many Nmt.mp4 25.14MB
011 Bias Term.en.srt 6.47KB
011 Bias Term.mp4 43.19MB
011 Language Modeling Next Word Prediction Python 6.en.srt 15.24KB
011 Language Modeling Next Word Prediction Python 6.mp4 90.25MB
012 Activation Function.en.srt 9.68KB
012 Activation Function.mp4 43.02MB
012 Models Summary.en.srt 3.99KB
012 Models Summary.mp4 21.10MB
013 Deep RNNs.en.srt 9.43KB
013 Deep RNNs.mp4 40.68MB
013 DNN Training Parameters.en.srt 13.14KB
013 DNN Training Parameters.mp4 52.16MB
014 Gradient Descent.en.srt 9.91KB
014 Gradient Descent.mp4 40.67MB
015 Backpropagation.en.srt 14.37KB
015 Backpropagation.mp4 55.83MB
016 Training DNN Animantion.en.srt 4.31KB
016 Training DNN Animantion.mp4 48.05MB
017 Weigth Initialization.en.srt 12.38KB
017 Weigth Initialization.mp4 63.48MB
018 Batch miniBatch Stocastic.en.srt 11.11KB
018 Batch miniBatch Stocastic.mp4 53.57MB
019 Batch Normalization.en.srt 6.70KB
019 Batch Normalization.mp4 33.94MB
020 Rprop Momentum.en.srt 16.18KB
020 Rprop Momentum.mp4 85.07MB
021 Convergence Animation.en.srt 4.35KB
021 Convergence Animation.mp4 47.67MB
022 DropOut EarlyStopping Hyperparameters.en.srt 17.28KB
022 DropOut EarlyStopping Hyperparameters.mp4 77.89MB
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TutsNode.com.txt 63B
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