Deep Learning: Recurrent Neural Networks with Python

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Deep Learning: Recurrent Neural Networks with Python

Torrent Contents Size: 4.5 GB

Deep Learning: Recurrent Neural Networks with Python
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001 Automatic Diffrenciation.en.srt
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001 Automatic Diffrenciation.mp4
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001 Further Readings and Resourses 1.en.srt
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001 Further Readings and Resourses 1.mp4
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001 Human Activity Recognition.en.srt
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001 Human Activity Recognition.mp4
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001 Introduction to Better RNNs Module.en.srt
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001 Introduction to Better RNNs Module.mp4
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001 Introduction to Deep Learning Module.en.srt
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001 Introduction to Deep Learning Module.mp4
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001 Introduction to Gradient Descent Module.en.srt
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001 Introduction to Gradient Descent Module.mp4
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001 Introduction to Instructor and Aisciences.en.srt
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001 Introduction to Instructor and Aisciences.mp4
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001 Introduction to Module.en.srt
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001 Introduction to Module.mp4
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001 Introduction to TensorFlow.en.srt
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001 Introduction to TensorFlow.mp4
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001 Introduction.en.srt
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001 Introduction.mp4
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001 Problem Statement.en.srt
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001 Problem Statement.mp4
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001 THANK YOU Bonus Video.en.srt
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001 THANK YOU Bonus Video.mp4
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001 Vocabulary Implementation.en.srt
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001 Vocabulary Implementation.mp4
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002 Automatic Diffrenciation Pytorch.en.srt
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002 Automatic Diffrenciation Pytorch.mp4
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002 Data Mapping.en.srt
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002 Data Mapping.mp4
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002 Data Set.en.srt
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002 Data Set.mp4
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002 Example Setup.en.srt
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002 Fixed Length Memory Model.mp4
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002 Example Setup.mp4
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002 Fixed Length Memory Model.en.srt
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002 Focus of the Course.en.srt
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002 Focus of the Course.mp4
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002 Image Captioning.en.srt
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002 Image Captioning.mp4
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002 Introduction Vanishing Gradients in RNN.en.srt
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002 Introduction Vanishing Gradients in RNN.mp4
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002 Neuron and Perceptron.en.srt
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002 Neuron and Perceptron.mp4
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002 TensorFlow Text Classification Example using RNN.en.srt
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002 TensorFlow Text Classification Example using RNN.mp4
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002 Vocabulary Implementation Helpers.en.srt
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002 Vocabulary Implementation Helpers.mp4
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003 DNN Architecture.en.srt
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003 DNN Architecture.mp4
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003 Data Prepration.en.srt
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003 Data Prepration.mp4
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003 Equations.en.srt
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003 Equations.mp4
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003 GRU.en.srt
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003 GRU.mp4
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003 Infinite Memory Architecture.en.srt
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003 Infinite Memory Architecture.mp4
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003 Language Modeling Next Word Prediction Vocabulary Index.en.srt
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003 Language Modeling Next Word Prediction Vocabulary Index.mp4
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003 Machine Translation.en.srt
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003 Machine Translation.mp4
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003 Modling RNN Architecture.en.srt
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003 Modling RNN Architecture.mp4
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003 Request for Your Honest Review.en.srt
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003 Request for Your Honest Review.mp4
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003 Vocabulary Implementation From File.en.srt
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003 Vocabulary Implementation From File.mp4
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004 FeedForward FullyConnected MLP.en.srt
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004 FeedForward FullyConnected MLP.mp4
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004 GRU Optional.en.srt
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004 GRU Optional.mp4
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004 Loss Function.mp4
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004 Language Modeling Next Word Prediction Vocabulary Index Embeddings.en.srt
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004 Language Modeling Next Word Prediction Vocabulary Index Embeddings.mp4
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004 Link to oneDrive and Github to get the Python Notebooks.html
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004 Loss Function.en.srt
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004 Modling RNN Model in TensorFlow.en.srt
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004 Modling RNN Model in TensorFlow.mp4
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004 RNN Model Training and Evaluation.en.srt
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004 RNN Model Training and Evaluation.mp4
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004 Speech Recognition.en.srt
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004 Speech Recognition.mp4
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004 Vectorizer.en.srt
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004 Vectorizer.mp4
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004 Weight Sharing.en.srt
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004 Weight Sharing.mp4
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005 Activity.en.srt
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005 Activity.mp4
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005 Calculating Number of Weights of DNN.en.srt
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005 Calculating Number of Weights of DNN.mp4
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005 LSTM.en.srt
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005 LSTM.mp4
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005 Language Modeling Next Word Prediction RNN Architecture.en.srt
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005 Modling RNN Model Training.en.srt
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005 Language Modeling Next Word Prediction RNN Architecture.mp4
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005 Modling RNN Model Training.mp4
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005 Notations.en.srt
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005 Notations.mp4
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005 RNN Setup 1.en.srt
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005 RNN Setup 1.mp4
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005 Stock Price Predictions.en.srt
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005 Stock Price Predictions.mp4
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005 Why Gradients.en.srt
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005 Why Gradients.mp4
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006 Chain Rule.en.srt
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006 Chain Rule.mp4
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006 LSTM Optional.en.srt
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006 LSTM Optional.mp4
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006 Language Modeling Next Word Prediction Python 1.en.srt
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006 Language Modeling Next Word Prediction Python 1.mp4
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006 ManyToMany Model.en.srt
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006 ManyToMany Model.mp4
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006 Modling RNN Model Text Generation.en.srt
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006 Modling RNN Model Text Generation.mp4
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006 Number of Nuerons vs Number of Layers.en.srt
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006 Number of Nuerons vs Number of Layers.mp4
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006 RNN Setup 2.en.srt
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006 RNN Setup 2.mp4
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006 When to Model RNN.en.srt
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006 When to Model RNN.mp4
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007 Activity.en.srt
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007 Activity.mp4
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007 Bidirectional RNN.en.srt
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007 Bidirectional RNN.mp4
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007 Chain Rule in Action.mp4
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007 Discriminative vs Generative Learning.en.srt
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007 Language Modeling Next Word Prediction Python 2.en.srt
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007 Chain Rule in Action.en.srt
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007 Discriminative vs Generative Learning.mp4
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007 Language Modeling Next Word Prediction Python 2.mp4
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007 OneToMany Model.en.srt
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007 OneToMany Model.mp4
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007 WhatNext.en.srt
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007 WhatNext.mp4
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008 Attention Model.en.srt
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008 Attention Model.mp4
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008 BackPropagation Through Time.en.srt
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008 BackPropagation Through Time.mp4
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008 Language Modeling Next Word Prediction Python 3.en.srt
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008 Language Modeling Next Word Prediction Python 3.mp4
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008 ManyToOne Model.en.srt
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008 ManyToOne Model.mp4
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008 Universal Approximation Therorem.en.srt
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008 Universal Approximation Therorem.mp4
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009 Activity Many to One.en.srt
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009 Activity Many to One.mp4
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009 Activity.en.srt
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009 Activity.mp4
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009 Attention Model Optional.en.srt
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009 Attention Model Optional.mp4
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009 Language Modeling Next Word Prediction Python 4.en.srt
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009 Language Modeling Next Word Prediction Python 4.mp4
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009 Why Depth.en.srt
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009 Why Depth.mp4
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010 Decision Boundary in DNN.en.srt
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010 Decision Boundary in DNN.mp4
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010 Language Modeling Next Word Prediction Python 5.en.srt
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010 Language Modeling Next Word Prediction Python 5.mp4
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010 ManyToMany Different Sizes Model.en.srt
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010 ManyToMany Different Sizes Model.mp4
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011 Activity Many to Many Nmt.en.srt
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011 Activity Many to Many Nmt.mp4
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011 Bias Term.en.srt
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011 Bias Term.mp4
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011 Language Modeling Next Word Prediction Python 6.en.srt
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011 Language Modeling Next Word Prediction Python 6.mp4
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012 Activation Function.en.srt
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012 Activation Function.mp4
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012 Models Summary.en.srt
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012 Models Summary.mp4
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013 DNN Training Parameters.en.srt
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013 DNN Training Parameters.mp4
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013 Deep RNNs.en.srt
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013 Deep RNNs.mp4
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014 Gradient Descent.en.srt
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014 Gradient Descent.mp4
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015 Backpropagation.en.srt
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015 Backpropagation.mp4
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016 Training DNN Animantion.en.srt
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016 Training DNN Animantion.mp4
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017 Weigth Initialization.en.srt
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017 Weigth Initialization.mp4
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018 Batch miniBatch Stocastic.en.srt
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018 Batch miniBatch Stocastic.mp4
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019 Batch Normalization.en.srt
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019 Batch Normalization.mp4
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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
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022 DropOut EarlyStopping Hyperparameters.en.srt
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022 DropOut EarlyStopping Hyperparameters.mp4
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TutsNode.com.txt
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