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[FreeCourseSite.com] Udemy - Deep Learning Recurrent Neural Networks with Python
magnet:?xt=urn:btih:30c735a65d9d5baca991871a009ef9eae3b2fb9d&dn=[FreeCourseSite.com] Udemy - Deep Learning Recurrent Neural Networks with Python
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30c735a65d9d5baca991871a009ef9eae3b2fb9d
infohash:
97
文件数量
4.41 GB
文件大小
2021-6-26 04:43
创建日期
2024-6-25 04:57
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相关分词
FreeCourseSite
com
Udemy
-
Deep
Learning
Recurrent
Neural
Networks
with
Python
01 Introduction to Course/001 Introduction to Instructor and Aisciences.mp4 54.73 MB
01 Introduction to Course/002 Focus of the Course.mp4 32.86 MB
01 Introduction to Course/003 Request for Your Honest Review.mp4 28.67 MB
02 Applications of RNN (Motivation)/001 Human Activity Recognition.mp4 50.98 MB
02 Applications of RNN (Motivation)/002 Image Captioning.mp4 58.71 MB
02 Applications of RNN (Motivation)/003 Machine Translation.mp4 46.92 MB
02 Applications of RNN (Motivation)/004 Speech Recognition.mp4 41.2 MB
02 Applications of RNN (Motivation)/005 Stock Price Predictions.mp4 63.16 MB
02 Applications of RNN (Motivation)/006 When to Model RNN.mp4 96.49 MB
02 Applications of RNN (Motivation)/007 Activity.mp4 14.83 MB
03 DNN Overview/001 Introduction to Deep Learning Module.mp4 11.1 MB
03 DNN Overview/002 Neuron and Perceptron.mp4 70.93 MB
03 DNN Overview/003 DNN Architecture.mp4 40.19 MB
03 DNN Overview/004 FeedForward FullyConnected MLP.mp4 25.18 MB
03 DNN Overview/005 Calculating Number of Weights of DNN.mp4 33.29 MB
03 DNN Overview/006 Number of Nuerons vs Number of Layers.mp4 33.48 MB
03 DNN Overview/007 Discriminative vs Generative Learning.mp4 35.59 MB
03 DNN Overview/008 Universal Approximation Therorem.mp4 48.82 MB
03 DNN Overview/009 Why Depth.mp4 18.07 MB
03 DNN Overview/010 Decision Boundary in DNN.mp4 33.32 MB
03 DNN Overview/011 Bias Term.mp4 43.19 MB
03 DNN Overview/012 Activation Function.mp4 43.02 MB
03 DNN Overview/013 DNN Training Parameters.mp4 52.16 MB
03 DNN Overview/014 Gradient Descent.mp4 40.67 MB
03 DNN Overview/015 Backpropagation.mp4 55.83 MB
03 DNN Overview/016 Training DNN Animantion.mp4 48.05 MB
03 DNN Overview/017 Weigth Initialization.mp4 63.48 MB
03 DNN Overview/018 Batch miniBatch Stocastic.mp4 53.57 MB
03 DNN Overview/019 Batch Normalization.mp4 33.94 MB
03 DNN Overview/020 Rprop Momentum.mp4 85.07 MB
03 DNN Overview/021 Convergence Animation.mp4 47.67 MB
03 DNN Overview/022 DropOut EarlyStopping Hyperparameters.mp4 77.89 MB
04 RNN Architecture/001 Introduction to Module.mp4 19.88 MB
04 RNN Architecture/002 Fixed Length Memory Model.mp4 49.73 MB
04 RNN Architecture/003 Infinite Memory Architecture.mp4 59.79 MB
04 RNN Architecture/004 Weight Sharing.mp4 77.56 MB
04 RNN Architecture/005 Notations.mp4 45.89 MB
04 RNN Architecture/006 ManyToMany Model.mp4 51.78 MB
04 RNN Architecture/007 OneToMany Model.mp4 39.99 MB
04 RNN Architecture/008 ManyToOne Model.mp4 29.84 MB
04 RNN Architecture/009 Activity Many to One.mp4 32.35 MB
04 RNN Architecture/010 ManyToMany Different Sizes Model.mp4 58.87 MB
04 RNN Architecture/011 Activity Many to Many Nmt.mp4 25.14 MB
04 RNN Architecture/012 Models Summary.mp4 21.1 MB
04 RNN Architecture/013 Deep RNNs.mp4 40.68 MB
05 Gradient Decsent in RNN/001 Introduction to Gradient Descent Module.mp4 32.17 MB
05 Gradient Decsent in RNN/002 Example Setup.mp4 26.85 MB
05 Gradient Decsent in RNN/003 Equations.mp4 37.14 MB
05 Gradient Decsent in RNN/004 Loss Function.mp4 42.77 MB
05 Gradient Decsent in RNN/005 Why Gradients.mp4 32.62 MB
05 Gradient Decsent in RNN/006 Chain Rule.mp4 42.01 MB
05 Gradient Decsent in RNN/007 Chain Rule in Action.mp4 36.89 MB
05 Gradient Decsent in RNN/008 BackPropagation Through Time.mp4 71.16 MB
05 Gradient Decsent in RNN/009 Activity.mp4 8.59 MB
06 RNN implementation/001 Automatic Diffrenciation.mp4 15.57 MB
06 RNN implementation/002 Automatic Diffrenciation Pytorch.mp4 34.07 MB
06 RNN implementation/003 Language Modeling Next Word Prediction Vocabulary Index.mp4 20.08 MB
06 RNN implementation/004 Language Modeling Next Word Prediction Vocabulary Index Embeddings.mp4 19.54 MB
06 RNN implementation/005 Language Modeling Next Word Prediction RNN Architecture.mp4 19.05 MB
06 RNN implementation/006 Language Modeling Next Word Prediction Python 1.mp4 36.35 MB
06 RNN implementation/007 Language Modeling Next Word Prediction Python 2.mp4 49.31 MB
06 RNN implementation/008 Language Modeling Next Word Prediction Python 3.mp4 54.01 MB
06 RNN implementation/009 Language Modeling Next Word Prediction Python 4.mp4 32.48 MB
06 RNN implementation/010 Language Modeling Next Word Prediction Python 5.mp4 25.19 MB
06 RNN implementation/011 Language Modeling Next Word Prediction Python 6.mp4 90.25 MB
07 Sentiment Classification using RNN/001 Vocabulary Implementation.mp4 72.87 MB
07 Sentiment Classification using RNN/002 Vocabulary Implementation Helpers.mp4 35.53 MB
07 Sentiment Classification using RNN/003 Vocabulary Implementation From File.mp4 41.59 MB
07 Sentiment Classification using RNN/004 Vectorizer.mp4 26.32 MB
07 Sentiment Classification using RNN/005 RNN Setup 1.mp4 49.08 MB
07 Sentiment Classification using RNN/006 RNN Setup 2.mp4 169.77 MB
07 Sentiment Classification using RNN/007 WhatNext.mp4 23.2 MB
08 Vanishing Gradients in RNN/001 Introduction to Better RNNs Module.mp4 31.19 MB
08 Vanishing Gradients in RNN/002 Introduction Vanishing Gradients in RNN.mp4 45.55 MB
08 Vanishing Gradients in RNN/003 GRU.mp4 57.48 MB
08 Vanishing Gradients in RNN/004 GRU Optional.mp4 27.75 MB
08 Vanishing Gradients in RNN/005 LSTM.mp4 36.7 MB
08 Vanishing Gradients in RNN/006 LSTM Optional.mp4 26.29 MB
08 Vanishing Gradients in RNN/007 Bidirectional RNN.mp4 42.25 MB
08 Vanishing Gradients in RNN/008 Attention Model.mp4 54.69 MB
08 Vanishing Gradients in RNN/009 Attention Model Optional.mp4 36.94 MB
09 TensorFlow/001 Introduction to TensorFlow.mp4 42.72 MB
09 TensorFlow/002 TensorFlow Text Classification Example using RNN.mp4 130.38 MB
10 Project I_ Book Writer/001 Introduction.mp4 53.46 MB
10 Project I_ Book Writer/002 Data Mapping.mp4 73.37 MB
10 Project I_ Book Writer/003 Modling RNN Architecture.mp4 75.2 MB
10 Project I_ Book Writer/004 Modling RNN Model in TensorFlow.mp4 49.08 MB
10 Project I_ Book Writer/005 Modling RNN Model Training.mp4 38.97 MB
10 Project I_ Book Writer/006 Modling RNN Model Text Generation.mp4 72.55 MB
10 Project I_ Book Writer/007 Activity.mp4 37.09 MB
11 Project II_ Stock Price Prediction/001 Problem Statement.mp4 20.87 MB
11 Project II_ Stock Price Prediction/002 Data Set.mp4 63.8 MB
11 Project II_ Stock Price Prediction/003 Data Prepration.mp4 77.41 MB
11 Project II_ Stock Price Prediction/004 RNN Model Training and Evaluation.mp4 114.05 MB
11 Project II_ Stock Price Prediction/005 Activity.mp4 25.37 MB
12 Further Readings and Resourses/001 Further Readings and Resourses 1.mp4 70.33 MB
13 Bonus Lecture/001 THANK YOU Bonus Video.mp4 29.69 MB
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