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[] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks

  • 收录时间:2018-03-13 10:17:40
  • 文件大小:3GB
  • 下载次数:248
  • 最近下载:2020-12-18 12:46:05
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文件列表

  1. 24 Building a Boltzmann Machine/123 Building a Boltzmann Machine - Step 4.mp4 65MB
  2. 19 SOMs Intuition/094 Reading an Advanced SOM.mp4 62MB
  3. 24 Building a Boltzmann Machine/132 Building a Boltzmann Machine - Step 13.mp4 59MB
  4. 06 Evaluating Improving and Tuning the ANN/029 Evaluating the ANN.mp4 56MB
  5. 24 Building a Boltzmann Machine/116 Installing Ubuntu on Windows.mp4 55MB
  6. 27 Building an AutoEncoder/146 Installing Ubuntu on Windows.mp4 55MB
  7. 24 Building a Boltzmann Machine/133 Building a Boltzmann Machine - Step 14.mp4 54MB
  8. 14 RNN Intuition/064 Practical intuition.mp4 53MB
  9. 27 Building an AutoEncoder/155 Building an AutoEncoder - Step 6.mp4 52MB
  10. 06 Evaluating Improving and Tuning the ANN/031 Tuning the ANN.mp4 51MB
  11. 27 Building an AutoEncoder/153 Building an AutoEncoder - Step 4.mp4 50MB
  12. 21 Mega Case Study/104 Mega Case Study - Step 3.mp4 49MB
  13. 10 Building a CNN/053 Building a CNN - Step 9.mp4 47MB
  14. 14 RNN Intuition/063 LSTMs.mp4 46MB
  15. 04 Building an ANN/018 Building an ANN - Step 2.mp4 46MB
  16. 09 CNN Intuition/040 Step 4 - Full Connection.mp4 43MB
  17. 31 Classification Template/177 Logistic Regression Implementation - Step 5.mp4 42MB
  18. 24 Building a Boltzmann Machine/131 Building a Boltzmann Machine - Step 12.mp4 42MB
  19. 11 Homework - Whats that pet/056 Homework Solution.mp4 41MB
  20. 09 CNN Intuition/038 Step 2 - Pooling.mp4 40MB
  21. 24 Building a Boltzmann Machine/127 Building a Boltzmann Machine - Step 8.mp4 39MB
  22. 23 Boltzmann Machine Intuition/111 Restricted Boltzmann Machine.mp4 39MB
  23. 05 Homework Challenge - Should we say goodbye to that customer/028 Homework Solution.mp4 38MB
  24. 14 RNN Intuition/061 The idea behind Recurrent Neural Networks.mp4 37MB
  25. 27 Building an AutoEncoder/149 Building an AutoEncoder - Step 1.mp4 37MB
  26. 20 Building a SOM/100 Building a SOM - Step 3.mp4 36MB
  27. 24 Building a Boltzmann Machine/118 Building a Boltzmann Machine - Introduction.mp4 34MB
  28. 27 Building an AutoEncoder/157 Building an AutoEncoder - Step 8.mp4 34MB
  29. 27 Building an AutoEncoder/156 Building an AutoEncoder - Step 7.mp4 34MB
  30. 09 CNN Intuition/042 Softmax Cross-Entropy.mp4 33MB
  31. 24 Building a Boltzmann Machine/129 Building a Boltzmann Machine - Step 10.mp4 33MB
  32. 23 Boltzmann Machine Intuition/108 Boltzmann Machine.mp4 32MB
  33. 27 Building an AutoEncoder/158 Building an AutoEncoder - Step 9.mp4 32MB
  34. 01 Welcome to the course/001 What is Deep Learning.mp4 31MB
  35. 24 Building a Boltzmann Machine/126 Building a Boltzmann Machine - Step 7.mp4 31MB
  36. 19 SOMs Intuition/091 How do Self-Organizing Maps Learn Part 1.mp4 31MB
  37. 09 CNN Intuition/036 Step 1 - Convolution Operation.mp4 31MB
  38. 21 Mega Case Study/105 Mega Case Study - Step 4.mp4 31MB
  39. 20 Building a SOM/098 Building a SOM - Step 1.mp4 31MB
  40. 24 Building a Boltzmann Machine/120 Building a Boltzmann Machine - Step 1.mp4 30MB
  41. 15 Building a RNN/068 Building a RNN - Step 1.mp4 30MB
  42. 04 Building an ANN/021 Building an ANN - Step 5.mp4 30MB
  43. 03 ANN Intuition/007 The Neuron.mp4 30MB
  44. 24 Building a Boltzmann Machine/121 Building a Boltzmann Machine - Step 2.mp4 30MB
  45. 23 Boltzmann Machine Intuition/112 Contrastive Divergence.mp4 30MB
  46. 09 CNN Intuition/035 What are convolutional neural networks.mp4 29MB
  47. 29 Regression Classification Intuition/165 Logistic Regression Intuition.mp4 29MB
  48. 14 RNN Intuition/062 The Vanishing Gradient Problem.mp4 29MB
  49. 30 Data Preprocessing Template/169 Data Preprocessing - Step 4.mp4 29MB
  50. 20 Building a SOM/101 Building a SOM - Step 4.mp4 29MB
  51. 27 Building an AutoEncoder/160 Building an AutoEncoder - Step 11.mp4 28MB
  52. 26 AutoEncoders Intuition/136 Auto Encoders.mp4 28MB
  53. 27 Building an AutoEncoder/150 Building an AutoEncoder - Step 2.mp4 28MB
  54. 23 Boltzmann Machine Intuition/110 Editing Wikipedia - Our Contribution to the World.mp4 27MB
  55. 10 Building a CNN/048 Building a CNN - Step 4.mp4 27MB
  56. 03 ANN Intuition/010 How do Neural Networks learn.mp4 27MB
  57. 24 Building a Boltzmann Machine/122 Building a Boltzmann Machine - Step 3.mp4 26MB
  58. 24 Building a Boltzmann Machine/125 Building a Boltzmann Machine - Step 6.mp4 25MB
  59. 19 SOMs Intuition/090 K-Means Clustering Refresher.mp4 25MB
  60. 04 Building an ANN/017 Building an ANN - Step 1.mp4 24MB
  61. 03 ANN Intuition/009 How do Neural Networks work.mp4 24MB
  62. 30 Data Preprocessing Template/170 Data Preprocessing - Step 5.mp4 23MB
  63. 30 Data Preprocessing Template/171 Data Preprocessing - Step 6.mp4 23MB
  64. 24 Building a Boltzmann Machine/130 Building a Boltzmann Machine - Step 11.mp4 22MB
  65. 19 SOMs Intuition/096 EXTRA K-means Clustering part 3.mp4 22MB
  66. 30 Data Preprocessing Template/168 Data Preprocessing - Step 3.mp4 22MB
  67. 10 Building a CNN/054 Building a CNN - Step 10.mp4 21MB
  68. 24 Building a Boltzmann Machine/128 Building a Boltzmann Machine - Step 9.mp4 20MB
  69. 01 Welcome to the course/002 Installing Python.mp4 20MB
  70. 27 Building an AutoEncoder/151 Building an AutoEncoder - Step 3.mp4 20MB
  71. 19 SOMs Intuition/088 How do Self-Organizing Maps Work.mp4 20MB
  72. 06 Evaluating Improving and Tuning the ANN/030 Improving the ANN.mp4 20MB
  73. 20 Building a SOM/099 Building a SOM - Step 2.mp4 19MB
  74. 10 Building a CNN/045 Building a CNN - Step 1.mp4 19MB
  75. 15 Building a RNN/078 Building a RNN - Step 11.mp4 19MB
  76. 19 SOMs Intuition/092 How do Self-Organizing Maps Learn Part 2.mp4 19MB
  77. 19 SOMs Intuition/093 Live SOM example.mp4 19MB
  78. 03 ANN Intuition/011 Gradient Descent.mp4 19MB
  79. 23 Boltzmann Machine Intuition/109 Energy-Based Models EBM.mp4 18MB
  80. 15 Building a RNN/066 Ethical Disclosure.mp4 18MB
  81. 04 Building an ANN/024 Building an ANN - Step 8.mp4 18MB
  82. 15 Building a RNN/079 Building a RNN - Step 12.mp4 18MB
  83. 04 Building an ANN/026 Building an ANN - Step 10.mp4 17MB
  84. 04 Building an ANN/025 Building an ANN - Step 9.mp4 17MB
  85. 03 ANN Intuition/012 Stochastic Gradient Descent.mp4 17MB
  86. 04 Building an ANN/016 Business Problem Description.mp4 16MB
  87. 30 Data Preprocessing Template/167 Data Preprocessing - Step 2.mp4 16MB
  88. 24 Building a Boltzmann Machine/124 Building a Boltzmann Machine - Step 5.mp4 15MB
  89. 16 Homework Challenge - Google Stock Price Prediction/082 Homework Solution.mp4 15MB
  90. 03 ANN Intuition/008 The Activation Function.mp4 15MB
  91. 09 CNN Intuition/037 Step 1b - ReLU Layer.mp4 14MB
  92. 26 AutoEncoders Intuition/140 Sparse Autoencoders.mp4 14MB
  93. 26 AutoEncoders Intuition/138 Training an Auto Encoder.mp4 14MB
  94. 21 Mega Case Study/103 Mega Case Study - Step 2.mp4 13MB
  95. 30 Data Preprocessing Template/166 Data Preprocessing - Step 1.mp4 13MB
  96. 17 Evaluating Improving and Tuning the RNN/083 Evaluating the RNN.mp4 13MB
  97. 23 Boltzmann Machine Intuition/113 Deep Belief Networks.mp4 13MB
  98. 10 Building a CNN/051 Building a CNN - Step 7.mp4 13MB
  99. 19 SOMs Intuition/095 EXTRA K-means Clustering part 2.mp4 12MB
  100. 31 Classification Template/173 Logistic Regression Implementation - Step 1.mp4 12MB
  101. 15 Building a RNN/071 Building a RNN - Step 4.mp4 12MB
  102. 27 Building an AutoEncoder/154 Building an AutoEncoder - Step 5.mp4 12MB
  103. 31 Classification Template/178 Classification Template.mp4 12MB
  104. 27 Building an AutoEncoder/159 Building an AutoEncoder - Step 10.mp4 11MB
  105. 15 Building a RNN/073 Building a RNN - Step 6.mp4 11MB
  106. 03 ANN Intuition/013 Backpropagation.mp4 11MB
  107. 10 Building a CNN/049 Building a CNN - Step 5.mp4 10MB
  108. 10 Building a CNN/050 Building a CNN - Step 6.mp4 10MB
  109. 31 Classification Template/176 Logistic Regression Implementation - Step 4.mp4 10MB
  110. 29 Regression Classification Intuition/162 Simple Linear Regression Intuition - Step 1.mp4 9MB
  111. 15 Building a RNN/070 Building a RNN - Step 3.mp4 9MB
  112. 04 Building an ANN/023 Building an ANN - Step 7.mp4 9MB
  113. 04 Building an ANN/019 Building an ANN - Step 3.mp4 8MB
  114. 31 Classification Template/174 Logistic Regression Implementation - Step 2.mp4 8MB
  115. 30 Data Preprocessing Template/172 Data Preprocessing Template.mp4 8MB
  116. 15 Building a RNN/069 Building a RNN - Step 2.mp4 8MB
  117. 15 Building a RNN/076 Building a RNN - Step 9.mp4 8MB
  118. 09 CNN Intuition/041 Summary.mp4 8MB
  119. 10 Building a CNN/044 Introduction to CNNs.mp4 8MB
  120. 15 Building a RNN/075 Building a RNN - Step 8.mp4 8MB
  121. 26 AutoEncoders Intuition/139 Overcomplete hidden layers.mp4 8MB
  122. 14 RNN Intuition/065 EXTRA LSTM Variations.mp4 7MB
  123. 04 Building an ANN/022 Building an ANN - Step 6.mp4 7MB
  124. 15 Building a RNN/072 Building a RNN - Step 5.mp4 7MB
  125. 10 Building a CNN/052 Building a CNN - Step 8.mp4 7MB
  126. 15 Building a RNN/077 Building a RNN - Step 10.mp4 7MB
  127. 01 Welcome to the course/003 How to get the dataset.mp4 6MB
  128. 04 Building an ANN/015 How to get the dataset.mp4 6MB
  129. 10 Building a CNN/043 How to get the dataset.mp4 6MB
  130. 15 Building a RNN/067 How to get the dataset.mp4 6MB
  131. 20 Building a SOM/097 How to get the dataset.mp4 6MB
  132. 24 Building a Boltzmann Machine/115 How to get the dataset.mp4 6MB
  133. 27 Building an AutoEncoder/145 How to get the dataset.mp4 6MB
  134. 31 Classification Template/175 Logistic Regression Implementation - Step 3.mp4 6MB
  135. 04 Building an ANN/020 Building an ANN - Step 4.mp4 6MB
  136. 09 CNN Intuition/034 Plan of attack.mp4 6MB
  137. 10 Building a CNN/046 Building a CNN - Step 2.mp4 6MB
  138. 23 Boltzmann Machine Intuition/114 Deep Boltzmann Machines.mp4 6MB
  139. 26 AutoEncoders Intuition/141 Denoising Autoencoders.mp4 6MB
  140. 24 Building a Boltzmann Machine/117 Installing PyTorch.mp4 6MB
  141. 27 Building an AutoEncoder/147 Installing PyTorch.mp4 6MB
  142. 21 Mega Case Study/102 Mega Case Study - Step 1.mp4 5MB
  143. 29 Regression Classification Intuition/163 Simple Linear Regression Intuition - Step 2.mp4 5MB
  144. 26 AutoEncoders Intuition/142 Contractive Autoencoders.mp4 5MB
  145. 19 SOMs Intuition/087 Plan of attack.mp4 5MB
  146. 03 ANN Intuition/006 Plan of Attack.mp4 5MB
  147. 26 AutoEncoders Intuition/143 Stacked Autoencoders.mp4 5MB
  148. 14 RNN Intuition/060 Plan of attack.mp4 4MB
  149. 15 Building a RNN/074 Building a RNN - Step 7.mp4 4MB
  150. 26 AutoEncoders Intuition/135 Plan of attack.mp4 4MB
  151. 19 SOMs Intuition/089 Why revisit K-Means.mp4 4MB
  152. 23 Boltzmann Machine Intuition/107 Plan of attack.mp4 4MB
  153. 26 AutoEncoders Intuition/144 Deep Autoencoders.mp4 3MB
  154. 09 CNN Intuition/039 Step 3 - Flattening.mp4 3MB
  155. 26 AutoEncoders Intuition/137 A Note on Biases.mp4 2MB
  156. 10 Building a CNN/047 Building a CNN - Step 3.mp4 2MB
  157. 29 Regression Classification Intuition/164 Multiple Linear Regression Intuition.mp4 2MB
  158. 17 Evaluating Improving and Tuning the RNN/attached_files/085 Improving and Tuning the RNN - Solution/Homework-Challenge.zip 665KB
  159. 32 Bonus Lectures/179 YOUR SPECIAL BONUS.html 3KB
  160. 17 Evaluating Improving and Tuning the RNN/085 Improving and Tuning the RNN - Solution.html 3KB
  161. 15 Building a RNN/080 Summary Next Steps.html 2KB
  162. 17 Evaluating Improving and Tuning the RNN/084 Improving and Tuning the RNN - Homework Challenge.html 2KB
  163. 27 Building an AutoEncoder/152 Homework Challenge - Coding Exercise.html 2KB
  164. 04 Building an ANN/014 Prerequisites.html 2KB
  165. 01 Welcome to the course/004 BONUS Meet Your Instructors.html 1KB
  166. 13 ---------------------- Part 3 - Recurrent Neural Networks ----------------------/059 Welcome to Part 3 - Recurrent Neural Networks.html 1KB
  167. 22 ------------------------- Part 5 - Boltzmann Machines -------------------------/106 Welcome to Part 5 - Boltzmann Machines.html 1KB
  168. 12 Evaluating Improving and Tuning the CNN/057 Homework Challenge - Get the gold medal.html 1KB
  169. 28 ------------------- Annex - Get the Machine Learning Basics -------------------/161 Annex - Get the Machine Learning Basics.html 1KB
  170. 11 Homework - Whats that pet/055 Homework Instruction.html 1KB
  171. [FreeCourseSite.com].txt 1KB
  172. [HaxTech.me].txt 1KB
  173. 05 Homework Challenge - Should we say goodbye to that customer/027 Homework Instruction.html 972B
  174. 25 ---------------------------- Part 6 - AutoEncoders ----------------------------/134 Welcome to Part 6 - AutoEncoders.html 900B
  175. 02 --------------------- Part 1 - Artificial Neural Networks ---------------------/005 Welcome to Part 1 - Artificial Neural Networks.html 870B
  176. 07 Homework Challenge - Put me one step down on the podium/032 Homework Instruction.html 716B
  177. 08 -------------------- Part 2 - Convolutional Neural Networks --------------------/033 Welcome to Part 2 - Convolutional Neural Networks.html 705B
  178. 16 Homework Challenge - Google Stock Price Prediction/081 Homework Instruction.html 686B
  179. 18 ------------------------ Part 4 - Self Organizing Maps ------------------------/086 Welcome to Part 4 - Self Organizing Maps.html 676B
  180. 24 Building a Boltzmann Machine/119 Same Data Preprocessing in Parts 5 and 6.html 659B
  181. 27 Building an AutoEncoder/148 Same Data Preprocessing in Parts 5 and 6.html 658B
  182. 12 Evaluating Improving and Tuning the CNN/058 Homework Challenge Solution - Get the gold medal.html 503B
  183. [FreeCourseSite.com].url 127B
  184. [HaxTech.me].url 123B