Deep Learning Recurrent Neural Networks with Python | 23BAEC63E70F0826F2882A45F7ED97DC8A475FCB

Deep Learning Recurrent Neural Networks with Python

Name	Deep Learning Recurrent Neural Networks with Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	4.8 GB
Total Files	293
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Hash	23BAEC63E70F0826F2882A45F7ED97DC8A475FCB

/.../07 Sentiment Classification using RNN/
006 RNN Setup 2.mp4	178.0 MB

TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/09 TensorFlow/
002 TensorFlow Text Classification Example using RNN.en.srt	32.5 KB
002 TensorFlow Text Classification Example using RNN.mp4	136.7 MB
001 Introduction to TensorFlow.en.srt	12.6 KB
001 Introduction to TensorFlow.mp4	44.8 MB
/.../07 Sentiment Classification using RNN/
006 RNN Setup 2.en.srt	26.2 KB
001 Vocabulary Implementation.en.srt	10.3 KB
005 RNN Setup 1.en.srt	7.6 KB
003 Vocabulary Implementation From File.en.srt	6.8 KB
004 Vectorizer.en.srt	5.6 KB
002 Vocabulary Implementation Helpers.en.srt	5.2 KB
007 WhatNext.en.srt	4.3 KB
001 Vocabulary Implementation.mp4	76.4 MB
005 RNN Setup 1.mp4	51.5 MB
003 Vocabulary Implementation From File.mp4	43.6 MB
002 Vocabulary Implementation Helpers.mp4	37.3 MB
004 Vectorizer.mp4	27.6 MB
007 WhatNext.mp4	24.3 MB
/.../02 Applications of RNN (Motivation)/
006 When to Model RNN.en.srt	23.3 KB
003 Machine Translation.en.srt	10.0 KB
001 Human Activity Recognition.en.srt	9.6 KB
005 Stock Price Predictions.en.srt	7.8 KB
002 Image Captioning.en.srt	7.7 KB
004 Speech Recognition.en.srt	7.0 KB
007 Activity.en.srt	3.1 KB
006 When to Model RNN.mp4	101.2 MB
005 Stock Price Predictions.mp4	66.2 MB
002 Image Captioning.mp4	61.6 MB
001 Human Activity Recognition.mp4	53.5 MB
003 Machine Translation.mp4	49.2 MB
004 Speech Recognition.mp4	43.2 MB
007 Activity.mp4	15.5 MB
/.../10 Project I_ Book Writer/
003 Modling RNN Architecture.en.srt	21.2 KB
002 Data Mapping.en.srt	17.9 KB
006 Modling RNN Model Text Generation.en.srt	14.5 KB
001 Introduction.en.srt	13.4 KB
004 Modling RNN Model in TensorFlow.en.srt	12.6 KB
005 Modling RNN Model Training.en.srt	8.9 KB
007 Activity.en.srt	8.6 KB
003 Modling RNN Architecture.mp4	78.9 MB
002 Data Mapping.mp4	76.9 MB
006 Modling RNN Model Text Generation.mp4	76.1 MB
001 Introduction.mp4	56.1 MB
004 Modling RNN Model in TensorFlow.mp4	51.5 MB
005 Modling RNN Model Training.mp4	40.9 MB
007 Activity.mp4	38.9 MB
/.../01 Introduction to Course/
003 Request for Your Honest Review.en.srt	2.6 KB
004 Link to oneDrive and Github to get the Python Notebooks.html	2.4 KB
001 Introduction to Instructor and Aisciences.en.srt	14.9 KB
002 Focus of the Course.en.srt	11.4 KB
001 Introduction to Instructor and Aisciences.mp4	57.4 MB
002 Focus of the Course.mp4	34.5 MB
003 Request for Your Honest Review.mp4	30.1 MB
/.../11 Project II_ Stock Price Prediction/
004 RNN Model Training and Evaluation.en.srt	20.9 KB
003 Data Prepration.en.srt	19.8 KB
002 Data Set.en.srt	12.0 KB
001 Problem Statement.en.srt	7.6 KB
005 Activity.en.srt	7.3 KB
004 RNN Model Training and Evaluation.mp4	119.6 MB
003 Data Prepration.mp4	81.2 MB
002 Data Set.mp4	66.9 MB
005 Activity.mp4	26.6 MB
001 Problem Statement.mp4	21.9 MB
/.../03 DNN Overview/
022 DropOut EarlyStopping Hyperparameters.en.srt	17.7 KB
020 Rprop Momentum.en.srt	16.6 KB
007 Discriminative vs Generative Learning.en.srt	6.3 KB
015 Backpropagation.en.srt	14.7 KB
002 Neuron and Perceptron.en.srt	13.5 KB
013 DNN Training Parameters.en.srt	13.5 KB
017 Weigth Initialization.en.srt	12.7 KB
006 Number of Nuerons vs Number of Layers.en.srt	11.6 KB
018 Batch miniBatch Stocastic.en.srt	11.4 KB
014 Gradient Descent.en.srt	10.1 KB
003 DNN Architecture.en.srt	10.0 KB
012 Activation Function.en.srt	9.9 KB
008 Universal Approximation Therorem.en.srt	8.2 KB
005 Calculating Number of Weights of DNN.en.srt	7.8 KB
010 Decision Boundary in DNN.en.srt	7.1 KB
019 Batch Normalization.en.srt	6.9 KB
011 Bias Term.en.srt	6.6 KB
004 FeedForward FullyConnected MLP.en.srt	5.9 KB
009 Why Depth.en.srt	5.2 KB
001 Introduction to Deep Learning Module.en.srt	4.5 KB
021 Convergence Animation.en.srt	4.5 KB
016 Training DNN Animantion.en.srt	4.4 KB
020 Rprop Momentum.mp4	89.2 MB
022 DropOut EarlyStopping Hyperparameters.mp4	81.7 MB
002 Neuron and Perceptron.mp4	74.4 MB
017 Weigth Initialization.mp4	66.6 MB
015 Backpropagation.mp4	58.5 MB
018 Batch miniBatch Stocastic.mp4	56.2 MB
013 DNN Training Parameters.mp4	54.7 MB
008 Universal Approximation Therorem.mp4	51.2 MB
016 Training DNN Animantion.mp4	50.4 MB
021 Convergence Animation.mp4	50.0 MB
011 Bias Term.mp4	45.3 MB
012 Activation Function.mp4	45.1 MB
014 Gradient Descent.mp4	42.6 MB
003 DNN Architecture.mp4	42.1 MB
007 Discriminative vs Generative Learning.mp4	37.3 MB
019 Batch Normalization.mp4	35.6 MB
006 Number of Nuerons vs Number of Layers.mp4	35.1 MB
010 Decision Boundary in DNN.mp4	34.9 MB
005 Calculating Number of Weights of DNN.mp4	34.9 MB
004 FeedForward FullyConnected MLP.mp4	26.4 MB
009 Why Depth.mp4	19.0 MB
001 Introduction to Deep Learning Module.mp4	11.6 MB
/.../04 RNN Architecture/
004 Weight Sharing.en.srt	16.4 KB
006 ManyToMany Model.en.srt	13.7 KB
003 Infinite Memory Architecture.en.srt	11.8 KB
002 Fixed Length Memory Model.en.srt	10.7 KB
010 ManyToMany Different Sizes Model.en.srt	10.6 KB
013 Deep RNNs.en.srt	9.7 KB
005 Notations.en.srt	9.5 KB
007 OneToMany Model.en.srt	9.1 KB
009 Activity Many to One.en.srt	7.9 KB
001 Introduction to Module.en.srt	7.4 KB
008 ManyToOne Model.en.srt	6.3 KB
011 Activity Many to Many Nmt.en.srt	5.8 KB
012 Models Summary.en.srt	4.1 KB
004 Weight Sharing.mp4	81.3 MB
003 Infinite Memory Architecture.mp4	62.7 MB
010 ManyToMany Different Sizes Model.mp4	61.7 MB
006 ManyToMany Model.mp4	54.3 MB
002 Fixed Length Memory Model.mp4	52.1 MB
005 Notations.mp4	48.1 MB
013 Deep RNNs.mp4	42.7 MB
007 OneToMany Model.mp4	41.9 MB
009 Activity Many to One.mp4	33.9 MB
008 ManyToOne Model.mp4	31.3 MB
011 Activity Many to Many Nmt.mp4	26.4 MB
012 Models Summary.mp4	22.1 MB
001 Introduction to Module.mp4	20.8 MB
/.../06 RNN implementation/
011 Language Modeling Next Word Prediction Python 6.en.srt	15.6 KB
002 Automatic Diffrenciation Pytorch.en.srt	10.2 KB
007 Language Modeling Next Word Prediction Python 2.en.srt	8.9 KB
008 Language Modeling Next Word Prediction Python 3.en.srt	7.9 KB
006 Language Modeling Next Word Prediction Python 1.en.srt	7.8 KB
009 Language Modeling Next Word Prediction Python 4.en.srt	5.6 KB
005 Language Modeling Next Word Prediction RNN Architecture.en.srt	5.0 KB
001 Automatic Diffrenciation.en.srt	4.9 KB
010 Language Modeling Next Word Prediction Python 5.en.srt	4.8 KB
003 Language Modeling Next Word Prediction Vocabulary Index.en.srt	4.4 KB
004 Language Modeling Next Word Prediction Vocabulary Index Embeddings.en.srt	4.0 KB
011 Language Modeling Next Word Prediction Python 6.mp4	94.6 MB
008 Language Modeling Next Word Prediction Python 3.mp4	56.6 MB
007 Language Modeling Next Word Prediction Python 2.mp4	51.7 MB
006 Language Modeling Next Word Prediction Python 1.mp4	38.1 MB
002 Automatic Diffrenciation Pytorch.mp4	35.7 MB
009 Language Modeling Next Word Prediction Python 4.mp4	34.1 MB
010 Language Modeling Next Word Prediction Python 5.mp4	26.4 MB
003 Language Modeling Next Word Prediction Vocabulary Index.mp4	21.1 MB
004 Language Modeling Next Word Prediction Vocabulary Index Embeddings.mp4	20.5 MB
005 Language Modeling Next Word Prediction RNN Architecture.mp4	20.0 MB
001 Automatic Diffrenciation.mp4	16.3 MB
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/.../08 Vanishing Gradients in RNN/
003 GRU.en.srt	13.6 KB
008 Attention Model.en.srt	11.9 KB
002 Introduction Vanishing Gradients in RNN.en.srt	9.6 KB
005 LSTM.en.srt	9.5 KB
007 Bidirectional RNN.en.srt	8.9 KB
001 Introduction to Better RNNs Module.en.srt	8.5 KB
009 Attention Model Optional.en.srt	7.0 KB
004 GRU Optional.en.srt	7.0 KB
006 LSTM Optional.en.srt	6.7 KB
003 GRU.mp4	60.3 MB
008 Attention Model.mp4	57.3 MB
002 Introduction Vanishing Gradients in RNN.mp4	47.8 MB
007 Bidirectional RNN.mp4	44.3 MB
009 Attention Model Optional.mp4	38.7 MB
005 LSTM.mp4	38.5 MB
001 Introduction to Better RNNs Module.mp4	32.7 MB
004 GRU Optional.mp4	29.1 MB
006 LSTM Optional.mp4	27.6 MB
/.../12 Further Readings and Resourses/
001 Further Readings and Resourses 1.en.srt	12.2 KB
001 Further Readings and Resourses 1.mp4	73.7 MB
/.../05 Gradient Decsent in RNN/
008 BackPropagation Through Time.en.srt	10.7 KB
001 Introduction to Gradient Descent Module.en.srt	9.7 KB
004 Loss Function.en.srt	9.5 KB
002 Example Setup.en.srt	9.5 KB
006 Chain Rule.en.srt	8.5 KB
005 Why Gradients.en.srt	7.2 KB
007 Chain Rule in Action.en.srt	7.0 KB
003 Equations.en.srt	6.4 KB
009 Activity.en.srt	2.5 KB
008 BackPropagation Through Time.mp4	74.6 MB
004 Loss Function.mp4	44.9 MB
006 Chain Rule.mp4	44.0 MB
003 Equations.mp4	38.9 MB
007 Chain Rule in Action.mp4	38.7 MB
005 Why Gradients.mp4	34.2 MB
001 Introduction to Gradient Descent Module.mp4	33.7 MB
002 Example Setup.mp4	28.2 MB
009 Activity.mp4	9.0 MB
/.../13 Bonus Lecture/
001 THANK YOU Bonus Video.en.srt	2.7 KB
001 THANK YOU Bonus Video.mp4	31.1 MB
Total files 293