Download Deep Learning: Recurrent Neural Networks with Python Torrent

Torrent Contents Size: 4.41 GB

Deep Learning: Recurrent Neural Networks with Python

01 Introduction to Course

001 Introduction to Instructor and Aisciences.en.srt	SRT	14.58 KB
001 Introduction to Instructor and Aisciences.mp4	MP4	54.73 MB
002 Focus of the Course.en.srt	SRT	11.13 KB
002 Focus of the Course.mp4	MP4	32.86 MB
003 Request for Your Honest Review.en.srt	SRT	2.5 KB
003 Request for Your Honest Review.mp4	MP4	28.67 MB
004 Link to oneDrive and Github to get the Python Notebooks.html	HTML	2.34 KB

02 Applications of RNN (Motivation)

001 Human Activity Recognition.en.srt	SRT	9.35 KB
001 Human Activity Recognition.mp4	MP4	50.98 MB
002 Image Captioning.en.srt	SRT	7.53 KB
002 Image Captioning.mp4	MP4	58.71 MB
003 Machine Translation.en.srt	SRT	9.76 KB
003 Machine Translation.mp4	MP4	46.92 MB
004 Speech Recognition.en.srt	SRT	6.84 KB
004 Speech Recognition.mp4	MP4	41.2 MB
005 Stock Price Predictions.en.srt	SRT	7.64 KB
005 Stock Price Predictions.mp4	MP4	63.16 MB
006 When to Model RNN.en.srt	SRT	22.75 KB
006 When to Model RNN.mp4	MP4	96.49 MB
007 Activity.en.srt	SRT	3.04 KB
007 Activity.mp4	MP4	14.83 MB

03 DNN Overview

001 Introduction to Deep Learning Module.en.srt	SRT	4.35 KB
001 Introduction to Deep Learning Module.mp4	MP4	11.1 MB
002 Neuron and Perceptron.en.srt	SRT	13.16 KB
002 Neuron and Perceptron.mp4	MP4	70.93 MB
003 DNN Architecture.en.srt	SRT	9.76 KB
003 DNN Architecture.mp4	MP4	40.19 MB
004 FeedForward FullyConnected MLP.en.srt	SRT	5.73 KB
004 FeedForward FullyConnected MLP.mp4	MP4	25.18 MB
005 Calculating Number of Weights of DNN.en.srt	SRT	7.61 KB
005 Calculating Number of Weights of DNN.mp4	MP4	33.29 MB
006 Number of Nuerons vs Number of Layers.en.srt	SRT	11.33 KB
006 Number of Nuerons vs Number of Layers.mp4	MP4	33.48 MB
007 Discriminative vs Generative Learning.en.srt	SRT	6.11 KB
007 Discriminative vs Generative Learning.mp4	MP4	35.59 MB
008 Universal Approximation Therorem.en.srt	SRT	7.99 KB
008 Universal Approximation Therorem.mp4	MP4	48.82 MB
009 Why Depth.en.srt	SRT	5.12 KB
009 Why Depth.mp4	MP4	18.07 MB
010 Decision Boundary in DNN.en.srt	SRT	6.95 KB
010 Decision Boundary in DNN.mp4	MP4	33.32 MB
011 Bias Term.en.srt	SRT	6.47 KB
011 Bias Term.mp4	MP4	43.19 MB
012 Activation Function.en.srt	SRT	9.68 KB
012 Activation Function.mp4	MP4	43.02 MB
013 DNN Training Parameters.en.srt	SRT	13.14 KB
013 DNN Training Parameters.mp4	MP4	52.16 MB
014 Gradient Descent.en.srt	SRT	9.91 KB
014 Gradient Descent.mp4	MP4	40.67 MB
015 Backpropagation.en.srt	SRT	14.37 KB
015 Backpropagation.mp4	MP4	55.83 MB
016 Training DNN Animantion.en.srt	SRT	4.31 KB
016 Training DNN Animantion.mp4	MP4	48.05 MB
017 Weigth Initialization.en.srt	SRT	12.38 KB
017 Weigth Initialization.mp4	MP4	63.48 MB
018 Batch miniBatch Stocastic.en.srt	SRT	11.11 KB
018 Batch miniBatch Stocastic.mp4	MP4	53.57 MB
019 Batch Normalization.en.srt	SRT	6.7 KB
019 Batch Normalization.mp4	MP4	33.94 MB
020 Rprop Momentum.en.srt	SRT	16.18 KB
020 Rprop Momentum.mp4	MP4	85.07 MB
021 Convergence Animation.en.srt	SRT	4.35 KB
021 Convergence Animation.mp4	MP4	47.67 MB
022 DropOut EarlyStopping Hyperparameters.en.srt	SRT	17.28 KB
022 DropOut EarlyStopping Hyperparameters.mp4	MP4	77.89 MB

04 RNN Architecture

001 Introduction to Module.en.srt	SRT	7.18 KB
001 Introduction to Module.mp4	MP4	19.88 MB
002 Fixed Length Memory Model.en.srt	SRT	10.48 KB
002 Fixed Length Memory Model.mp4	MP4	49.73 MB
003 Infinite Memory Architecture.en.srt	SRT	11.56 KB
003 Infinite Memory Architecture.mp4	MP4	59.79 MB
004 Weight Sharing.en.srt	SRT	16 KB
004 Weight Sharing.mp4	MP4	77.56 MB
005 Notations.en.srt	SRT	9.3 KB
005 Notations.mp4	MP4	45.89 MB
006 ManyToMany Model.en.srt	SRT	13.42 KB
006 ManyToMany Model.mp4	MP4	51.78 MB
007 OneToMany Model.en.srt	SRT	8.9 KB
007 OneToMany Model.mp4	MP4	39.99 MB
008 ManyToOne Model.en.srt	SRT	6.2 KB
008 ManyToOne Model.mp4	MP4	29.84 MB
009 Activity Many to One.en.srt	SRT	7.7 KB
009 Activity Many to One.mp4	MP4	32.35 MB
010 ManyToMany Different Sizes Model.en.srt	SRT	10.32 KB
010 ManyToMany Different Sizes Model.mp4	MP4	58.87 MB
011 Activity Many to Many Nmt.en.srt	SRT	5.62 KB
011 Activity Many to Many Nmt.mp4	MP4	25.14 MB
012 Models Summary.en.srt	SRT	3.99 KB
012 Models Summary.mp4	MP4	21.1 MB
013 Deep RNNs.en.srt	SRT	9.43 KB
013 Deep RNNs.mp4	MP4	40.68 MB
GetFreeCourses.Co.url	URL	116 B

05 Gradient Decsent in RNN

001 Introduction to Gradient Descent Module.en.srt	SRT	9.42 KB
001 Introduction to Gradient Descent Module.mp4	MP4	32.17 MB
002 Example Setup.en.srt	SRT	9.23 KB
002 Example Setup.mp4	MP4	26.85 MB
003 Equations.en.srt	SRT	6.27 KB
003 Equations.mp4	MP4	37.14 MB
004 Loss Function.en.srt	SRT	9.25 KB
004 Loss Function.mp4	MP4	42.77 MB
005 Why Gradients.en.srt	SRT	7.08 KB
005 Why Gradients.mp4	MP4	32.62 MB
006 Chain Rule.en.srt	SRT	8.26 KB
006 Chain Rule.mp4	MP4	42.01 MB
007 Chain Rule in Action.en.srt	SRT	6.79 KB
007 Chain Rule in Action.mp4	MP4	36.89 MB
008 BackPropagation Through Time.en.srt	SRT	10.49 KB
008 BackPropagation Through Time.mp4	MP4	71.16 MB
009 Activity.en.srt	SRT	2.46 KB
009 Activity.mp4	MP4	8.59 MB

06 RNN implementation

001 Automatic Diffrenciation.en.srt	SRT	4.75 KB
001 Automatic Diffrenciation.mp4	MP4	15.57 MB
002 Automatic Diffrenciation Pytorch.en.srt	SRT	9.96 KB
002 Automatic Diffrenciation Pytorch.mp4	MP4	34.07 MB
003 Language Modeling Next Word Prediction Vocabulary Index.en.srt	SRT	4.29 KB
003 Language Modeling Next Word Prediction Vocabulary Index.mp4	MP4	20.08 MB
004 Language Modeling Next Word Prediction Vocabulary Index Embeddings.en.srt	SRT	3.92 KB
004 Language Modeling Next Word Prediction Vocabulary Index Embeddings.mp4	MP4	19.54 MB
005 Language Modeling Next Word Prediction RNN Architecture.en.srt	SRT	4.85 KB
005 Language Modeling Next Word Prediction RNN Architecture.mp4	MP4	19.05 MB
006 Language Modeling Next Word Prediction Python 1.en.srt	SRT	7.58 KB
006 Language Modeling Next Word Prediction Python 1.mp4	MP4	36.35 MB
007 Language Modeling Next Word Prediction Python 2.en.srt	SRT	8.71 KB
007 Language Modeling Next Word Prediction Python 2.mp4	MP4	49.31 MB
008 Language Modeling Next Word Prediction Python 3.en.srt	SRT	7.71 KB
008 Language Modeling Next Word Prediction Python 3.mp4	MP4	54.01 MB
009 Language Modeling Next Word Prediction Python 4.en.srt	SRT	5.52 KB
009 Language Modeling Next Word Prediction Python 4.mp4	MP4	32.48 MB
010 Language Modeling Next Word Prediction Python 5.en.srt	SRT	4.65 KB
010 Language Modeling Next Word Prediction Python 5.mp4	MP4	25.19 MB
011 Language Modeling Next Word Prediction Python 6.en.srt	SRT	15.24 KB
011 Language Modeling Next Word Prediction Python 6.mp4	MP4	90.25 MB

07 Sentiment Classification using RNN

001 Vocabulary Implementation.en.srt	SRT	10.07 KB
001 Vocabulary Implementation.mp4	MP4	72.87 MB
002 Vocabulary Implementation Helpers.en.srt	SRT	5.07 KB
002 Vocabulary Implementation Helpers.mp4	MP4	35.53 MB
003 Vocabulary Implementation From File.en.srt	SRT	6.68 KB
003 Vocabulary Implementation From File.mp4	MP4	41.59 MB
004 Vectorizer.en.srt	SRT	5.45 KB
004 Vectorizer.mp4	MP4	26.32 MB
005 RNN Setup 1.en.srt	SRT	7.42 KB
005 RNN Setup 1.mp4	MP4	49.08 MB
006 RNN Setup 2.en.srt	SRT	25.55 KB
006 RNN Setup 2.mp4	MP4	169.77 MB
007 WhatNext.en.srt	SRT	4.16 KB
007 WhatNext.mp4	MP4	23.2 MB

08 Vanishing Gradients in RNN

001 Introduction to Better RNNs Module.en.srt	SRT	8.26 KB
001 Introduction to Better RNNs Module.mp4	MP4	31.19 MB
002 Introduction Vanishing Gradients in RNN.en.srt	SRT	9.39 KB
002 Introduction Vanishing Gradients in RNN.mp4	MP4	45.55 MB
003 GRU.en.srt	SRT	13.29 KB
003 GRU.mp4	MP4	57.48 MB
004 GRU Optional.en.srt	SRT	6.88 KB
004 GRU Optional.mp4	MP4	27.75 MB
005 LSTM.en.srt	SRT	9.32 KB
005 LSTM.mp4	MP4	36.7 MB
006 LSTM Optional.en.srt	SRT	6.5 KB
006 LSTM Optional.mp4	MP4	26.29 MB
007 Bidirectional RNN.en.srt	SRT	8.72 KB
007 Bidirectional RNN.mp4	MP4	42.25 MB
008 Attention Model.en.srt	SRT	11.66 KB
008 Attention Model.mp4	MP4	54.69 MB
009 Attention Model Optional.en.srt	SRT	6.88 KB
009 Attention Model Optional.mp4	MP4	36.94 MB

09 TensorFlow

001 Introduction to TensorFlow.en.srt	SRT	12.26 KB
001 Introduction to TensorFlow.mp4	MP4	42.72 MB
002 TensorFlow Text Classification Example using RNN.en.srt	SRT	31.73 KB
002 TensorFlow Text Classification Example using RNN.mp4	MP4	130.38 MB
GetFreeCourses.Co.url	URL	116 B

10 Project I_ Book Writer

001 Introduction.en.srt	SRT	13.04 KB
001 Introduction.mp4	MP4	53.46 MB
002 Data Mapping.en.srt	SRT	17.44 KB
002 Data Mapping.mp4	MP4	73.37 MB
003 Modling RNN Architecture.en.srt	SRT	20.75 KB
003 Modling RNN Architecture.mp4	MP4	75.2 MB
004 Modling RNN Model in TensorFlow.en.srt	SRT	12.26 KB
004 Modling RNN Model in TensorFlow.mp4	MP4	49.08 MB
005 Modling RNN Model Training.en.srt	SRT	8.68 KB
005 Modling RNN Model Training.mp4	MP4	38.97 MB
006 Modling RNN Model Text Generation.en.srt	SRT	14.21 KB
006 Modling RNN Model Text Generation.mp4	MP4	72.55 MB
007 Activity.en.srt	SRT	8.4 KB
007 Activity.mp4	MP4	37.09 MB

11 Project II_ Stock Price Prediction

001 Problem Statement.en.srt	SRT	7.4 KB
001 Problem Statement.mp4	MP4	20.87 MB
002 Data Set.en.srt	SRT	11.7 KB
002 Data Set.mp4	MP4	63.8 MB
003 Data Prepration.en.srt	SRT	19.38 KB
003 Data Prepration.mp4	MP4	77.41 MB
004 RNN Model Training and Evaluation.en.srt	SRT	20.37 KB
004 RNN Model Training and Evaluation.mp4	MP4	114.05 MB
005 Activity.en.srt	SRT	7.14 KB
005 Activity.mp4	MP4	25.37 MB

12 Further Readings and Resourses

	001 Further Readings and Resourses 1.en.srt	SRT	11.95 KB
	001 Further Readings and Resourses 1.mp4	MP4	70.33 MB

13 Bonus Lecture

	001 THANK YOU Bonus Video.en.srt	SRT	2.64 KB
	001 THANK YOU Bonus Video.mp4	MP4	29.69 MB

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Deep Learning: Recurrent Neural Networks with Python

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