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[FreeTutorials.Us] deeplearning

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种子名称: [FreeTutorials.Us] deeplearning
文件类型: 视频
文件数目: 157个文件
文件大小: 3.25 GB
收录时间: 2018-2-15 06:29
已经下载: 3
资源热度: 47
最近下载: 2024-12-25 22:32

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[FreeTutorials.Us] deeplearning.torrent
  • 01 Welcome to the course/001 What is Deep Learning.mp431.31MB
  • 01 Welcome to the course/002 Installing Python.mp420.38MB
  • 01 Welcome to the course/003 How to get the dataset.mp46.48MB
  • 03 ANN Intuition/006 Plan of Attack.mp44.74MB
  • 03 ANN Intuition/007 The Neuron.mp429.57MB
  • 03 ANN Intuition/008 The Activation Function.mp414.75MB
  • 03 ANN Intuition/009 How do Neural Networks work.mp423.53MB
  • 03 ANN Intuition/010 How do Neural Networks learn.mp426.55MB
  • 03 ANN Intuition/011 Gradient Descent.mp418.53MB
  • 03 ANN Intuition/012 Stochastic Gradient Descent.mp416.82MB
  • 03 ANN Intuition/013 Backpropagation.mp410.92MB
  • 04 Building an ANN/015 How to get the dataset.mp46.48MB
  • 04 Building an ANN/016 Business Problem Description.mp416.37MB
  • 04 Building an ANN/017 Building an ANN - Step 1.mp424.28MB
  • 04 Building an ANN/018 Building an ANN - Step 2.mp445.86MB
  • 04 Building an ANN/019 Building an ANN - Step 3.mp48.37MB
  • 04 Building an ANN/020 Building an ANN - Step 4.mp45.95MB
  • 04 Building an ANN/021 Building an ANN - Step 5.mp429.58MB
  • 04 Building an ANN/022 Building an ANN - Step 6.mp47.05MB
  • 04 Building an ANN/023 Building an ANN - Step 7.mp48.99MB
  • 04 Building an ANN/024 Building an ANN - Step 8.mp418.18MB
  • 04 Building an ANN/025 Building an ANN - Step 9.mp416.89MB
  • 04 Building an ANN/026 Building an ANN - Step 10.mp417.43MB
  • 05 Homework Challenge - Should we say goodbye to that customer/028 Homework Solution.mp437.62MB
  • 06 Evaluating Improving and Tuning the ANN/029 Evaluating the ANN.mp455.84MB
  • 06 Evaluating Improving and Tuning the ANN/030 Improving the ANN.mp419.83MB
  • 06 Evaluating Improving and Tuning the ANN/031 Tuning the ANN.mp450.76MB
  • 09 CNN Intuition/034 Plan of attack.mp45.93MB
  • 09 CNN Intuition/035 What are convolutional neural networks.mp429.5MB
  • 09 CNN Intuition/036 Step 1 - Convolution Operation.mp431.02MB
  • 09 CNN Intuition/037 Step 1b - ReLU Layer.mp414.09MB
  • 09 CNN Intuition/038 Step 2 - Pooling.mp440.24MB
  • 09 CNN Intuition/039 Step 3 - Flattening.mp43.27MB
  • 09 CNN Intuition/040 Step 4 - Full Connection.mp442.74MB
  • 09 CNN Intuition/041 Summary.mp47.91MB
  • 09 CNN Intuition/042 Softmax Cross-Entropy.mp433.23MB
  • 10 Building a CNN/043 How to get the dataset.mp46.48MB
  • 10 Building a CNN/044 Introduction to CNNs.mp47.84MB
  • 10 Building a CNN/045 Building a CNN - Step 1.mp419.18MB
  • 10 Building a CNN/046 Building a CNN - Step 2.mp45.85MB
  • 10 Building a CNN/047 Building a CNN - Step 3.mp42.23MB
  • 10 Building a CNN/048 Building a CNN - Step 4.mp427.19MB
  • 10 Building a CNN/049 Building a CNN - Step 5.mp49.91MB
  • 10 Building a CNN/050 Building a CNN - Step 6.mp49.7MB
  • 10 Building a CNN/051 Building a CNN - Step 7.mp412.57MB
  • 10 Building a CNN/052 Building a CNN - Step 8.mp46.79MB
  • 10 Building a CNN/053 Building a CNN - Step 9.mp446.87MB
  • 10 Building a CNN/054 Building a CNN - Step 10.mp420.54MB
  • 11 Homework - Whats that pet/056 Homework Solution.mp440.96MB
  • 14 RNN Intuition/060 Plan of attack.mp44.19MB
  • 14 RNN Intuition/061 The idea behind Recurrent Neural Networks.mp437.3MB
  • 14 RNN Intuition/062 The Vanishing Gradient Problem.mp429.01MB
  • 14 RNN Intuition/063 LSTMs.mp445.96MB
  • 14 RNN Intuition/064 Practical intuition.mp452.84MB
  • 14 RNN Intuition/065 EXTRA LSTM Variations.mp47.33MB
  • 15 Building a RNN/066 Ethical Disclosure.mp418.27MB
  • 15 Building a RNN/067 How to get the dataset.mp46.48MB
  • 15 Building a RNN/068 Building a RNN - Step 1.mp430.32MB
  • 15 Building a RNN/069 Building a RNN - Step 2.mp47.99MB
  • 15 Building a RNN/070 Building a RNN - Step 3.mp49.11MB
  • 15 Building a RNN/071 Building a RNN - Step 4.mp412.02MB
  • 15 Building a RNN/072 Building a RNN - Step 5.mp46.86MB
  • 15 Building a RNN/073 Building a RNN - Step 6.mp411.19MB
  • 15 Building a RNN/074 Building a RNN - Step 7.mp44.16MB
  • 15 Building a RNN/075 Building a RNN - Step 8.mp47.73MB
  • 15 Building a RNN/076 Building a RNN - Step 9.mp47.91MB
  • 15 Building a RNN/077 Building a RNN - Step 10.mp46.72MB
  • 15 Building a RNN/078 Building a RNN - Step 11.mp418.97MB
  • 15 Building a RNN/079 Building a RNN - Step 12.mp418.18MB
  • 16 Homework Challenge - Google Stock Price Prediction/082 Homework Solution.mp415.02MB
  • 17 Evaluating Improving and Tuning the RNN/083 Evaluating the RNN.mp413.19MB
  • 19 SOMs Intuition/087 Plan of attack.mp45.19MB
  • 19 SOMs Intuition/088 How do Self-Organizing Maps Work.mp420.02MB
  • 19 SOMs Intuition/089 Why revisit K-Means.mp44.05MB
  • 19 SOMs Intuition/090 K-Means Clustering Refresher.mp425.01MB
  • 19 SOMs Intuition/091 How do Self-Organizing Maps Learn Part 1.mp431.1MB
  • 19 SOMs Intuition/092 How do Self-Organizing Maps Learn Part 2.mp418.65MB
  • 19 SOMs Intuition/093 Live SOM example.mp418.54MB
  • 19 SOMs Intuition/094 Reading an Advanced SOM.mp461.87MB
  • 19 SOMs Intuition/095 EXTRA K-means Clustering part 2.mp412.34MB
  • 19 SOMs Intuition/096 EXTRA K-means Clustering part 3.mp421.82MB
  • 20 Building a SOM/097 How to get the dataset.mp46.48MB
  • 20 Building a SOM/098 Building a SOM - Step 1.mp430.66MB
  • 20 Building a SOM/099 Building a SOM - Step 2.mp419.43MB
  • 20 Building a SOM/100 Building a SOM - Step 3.mp436.03MB
  • 20 Building a SOM/101 Building a SOM - Step 4.mp428.73MB
  • 21 Mega Case Study/102 Mega Case Study - Step 1.mp45.45MB
  • 21 Mega Case Study/103 Mega Case Study - Step 2.mp413.34MB
  • 21 Mega Case Study/104 Mega Case Study - Step 3.mp449.25MB
  • 21 Mega Case Study/105 Mega Case Study - Step 4.mp430.84MB
  • 23 Boltzmann Machine Intuition/107 Plan of attack.mp43.78MB
  • 23 Boltzmann Machine Intuition/108 Boltzmann Machine.mp431.92MB
  • 23 Boltzmann Machine Intuition/109 Energy-Based Models EBM.mp418.48MB
  • 23 Boltzmann Machine Intuition/110 Editing Wikipedia - Our Contribution to the World.mp427.33MB
  • 23 Boltzmann Machine Intuition/111 Restricted Boltzmann Machine.mp439.25MB
  • 23 Boltzmann Machine Intuition/112 Contrastive Divergence.mp429.55MB
  • 23 Boltzmann Machine Intuition/113 Deep Belief Networks.mp412.61MB
  • 23 Boltzmann Machine Intuition/114 Deep Boltzmann Machines.mp45.85MB
  • 24 Building a Boltzmann Machine/115 How to get the dataset.mp46.48MB
  • 24 Building a Boltzmann Machine/116 Installing Ubuntu on Windows.mp455.36MB
  • 24 Building a Boltzmann Machine/117 Installing PyTorch.mp45.71MB
  • 24 Building a Boltzmann Machine/118 Building a Boltzmann Machine - Introduction.mp434.05MB
  • 24 Building a Boltzmann Machine/120 Building a Boltzmann Machine - Step 1.mp430.45MB
  • 24 Building a Boltzmann Machine/121 Building a Boltzmann Machine - Step 2.mp429.57MB
  • 24 Building a Boltzmann Machine/122 Building a Boltzmann Machine - Step 3.mp425.95MB
  • 24 Building a Boltzmann Machine/123 Building a Boltzmann Machine - Step 4.mp464.52MB
  • 24 Building a Boltzmann Machine/124 Building a Boltzmann Machine - Step 5.mp415.44MB
  • 24 Building a Boltzmann Machine/125 Building a Boltzmann Machine - Step 6.mp425.21MB
  • 24 Building a Boltzmann Machine/126 Building a Boltzmann Machine - Step 7.mp431.19MB
  • 24 Building a Boltzmann Machine/127 Building a Boltzmann Machine - Step 8.mp439.4MB
  • 24 Building a Boltzmann Machine/128 Building a Boltzmann Machine - Step 9.mp420.39MB
  • 24 Building a Boltzmann Machine/129 Building a Boltzmann Machine - Step 10.mp433.15MB
  • 24 Building a Boltzmann Machine/130 Building a Boltzmann Machine - Step 11.mp422.39MB
  • 24 Building a Boltzmann Machine/131 Building a Boltzmann Machine - Step 12.mp441.57MB
  • 24 Building a Boltzmann Machine/132 Building a Boltzmann Machine - Step 13.mp458.52MB
  • 24 Building a Boltzmann Machine/133 Building a Boltzmann Machine - Step 14.mp454.1MB
  • 26 AutoEncoders Intuition/135 Plan of attack.mp44.06MB
  • 26 AutoEncoders Intuition/136 Auto Encoders.mp428.19MB
  • 26 AutoEncoders Intuition/137 A Note on Biases.mp42.43MB
  • 26 AutoEncoders Intuition/138 Training an Auto Encoder.mp413.55MB
  • 26 AutoEncoders Intuition/139 Overcomplete hidden layers.mp47.64MB
  • 26 AutoEncoders Intuition/140 Sparse Autoencoders.mp413.99MB
  • 26 AutoEncoders Intuition/141 Denoising Autoencoders.mp45.72MB
  • 26 AutoEncoders Intuition/142 Contractive Autoencoders.mp45.29MB
  • 26 AutoEncoders Intuition/143 Stacked Autoencoders.mp44.53MB
  • 26 AutoEncoders Intuition/144 Deep Autoencoders.mp43.31MB
  • 27 Building an AutoEncoder/145 How to get the dataset.mp46.48MB
  • 27 Building an AutoEncoder/146 Installing Ubuntu on Windows.mp455.36MB
  • 27 Building an AutoEncoder/147 Installing PyTorch.mp45.71MB
  • 27 Building an AutoEncoder/149 Building an AutoEncoder - Step 1.mp436.71MB
  • 27 Building an AutoEncoder/150 Building an AutoEncoder - Step 2.mp427.81MB
  • 27 Building an AutoEncoder/151 Building an AutoEncoder - Step 3.mp420.09MB
  • 27 Building an AutoEncoder/153 Building an AutoEncoder - Step 4.mp449.56MB
  • 27 Building an AutoEncoder/154 Building an AutoEncoder - Step 5.mp411.86MB
  • 27 Building an AutoEncoder/155 Building an AutoEncoder - Step 6.mp452.13MB
  • 27 Building an AutoEncoder/156 Building an AutoEncoder - Step 7.mp433.7MB
  • 27 Building an AutoEncoder/157 Building an AutoEncoder - Step 8.mp433.83MB
  • 27 Building an AutoEncoder/158 Building an AutoEncoder - Step 9.mp431.6MB
  • 27 Building an AutoEncoder/159 Building an AutoEncoder - Step 10.mp411.26MB
  • 27 Building an AutoEncoder/160 Building an AutoEncoder - Step 11.mp428.29MB
  • 29 Regression Classification Intuition/162 Simple Linear Regression Intuition - Step 1.mp49.47MB
  • 29 Regression Classification Intuition/163 Simple Linear Regression Intuition - Step 2.mp45.37MB
  • 29 Regression Classification Intuition/164 Multiple Linear Regression Intuition.mp41.82MB
  • 29 Regression Classification Intuition/165 Logistic Regression Intuition.mp429.17MB
  • 30 Data Preprocessing Template/166 Data Preprocessing - Step 1.mp413.25MB
  • 30 Data Preprocessing Template/167 Data Preprocessing - Step 2.mp415.85MB
  • 30 Data Preprocessing Template/168 Data Preprocessing - Step 3.mp421.73MB
  • 30 Data Preprocessing Template/169 Data Preprocessing - Step 4.mp428.95MB
  • 30 Data Preprocessing Template/170 Data Preprocessing - Step 5.mp422.89MB
  • 30 Data Preprocessing Template/171 Data Preprocessing - Step 6.mp422.8MB
  • 30 Data Preprocessing Template/172 Data Preprocessing Template.mp48.13MB
  • 31 Classification Template/173 Logistic Regression Implementation - Step 1.mp412.19MB
  • 31 Classification Template/174 Logistic Regression Implementation - Step 2.mp48.14MB
  • 31 Classification Template/175 Logistic Regression Implementation - Step 3.mp45.96MB
  • 31 Classification Template/176 Logistic Regression Implementation - Step 4.mp49.68MB
  • 31 Classification Template/177 Logistic Regression Implementation - Step 5.mp442.48MB
  • 31 Classification Template/178 Classification Template.mp411.71MB