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GetFreeCourses.Co-Udemy-Deep Learning Recurrent Neural Networks with Python

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文件列表

  1. 07 Sentiment Classification using RNN/006 RNN Setup 2.mp4 170MB
  2. 09 TensorFlow/002 TensorFlow Text Classification Example using RNN.mp4 130MB
  3. 11 Project II_ Stock Price Prediction/004 RNN Model Training and Evaluation.mp4 114MB
  4. 02 Applications of RNN (Motivation)/006 When to Model RNN.mp4 96MB
  5. 06 RNN implementation/011 Language Modeling Next Word Prediction Python 6.mp4 90MB
  6. 03 DNN Overview/020 Rprop Momentum.mp4 85MB
  7. 03 DNN Overview/022 DropOut EarlyStopping Hyperparameters.mp4 78MB
  8. 04 RNN Architecture/004 Weight Sharing.mp4 78MB
  9. 11 Project II_ Stock Price Prediction/003 Data Prepration.mp4 77MB
  10. 10 Project I_ Book Writer/003 Modling RNN Architecture.mp4 75MB
  11. 10 Project I_ Book Writer/002 Data Mapping.mp4 73MB
  12. 07 Sentiment Classification using RNN/001 Vocabulary Implementation.mp4 73MB
  13. 10 Project I_ Book Writer/006 Modling RNN Model Text Generation.mp4 73MB
  14. 05 Gradient Decsent in RNN/008 BackPropagation Through Time.mp4 71MB
  15. 03 DNN Overview/002 Neuron and Perceptron.mp4 71MB
  16. 12 Further Readings and Resourses/001 Further Readings and Resourses 1.mp4 70MB
  17. 11 Project II_ Stock Price Prediction/002 Data Set.mp4 64MB
  18. 03 DNN Overview/017 Weigth Initialization.mp4 63MB
  19. 02 Applications of RNN (Motivation)/005 Stock Price Predictions.mp4 63MB
  20. 04 RNN Architecture/003 Infinite Memory Architecture.mp4 60MB
  21. 04 RNN Architecture/010 ManyToMany Different Sizes Model.mp4 59MB
  22. 02 Applications of RNN (Motivation)/002 Image Captioning.mp4 59MB
  23. 08 Vanishing Gradients in RNN/003 GRU.mp4 57MB
  24. 03 DNN Overview/015 Backpropagation.mp4 56MB
  25. 01 Introduction to Course/001 Introduction to Instructor and Aisciences.mp4 55MB
  26. 08 Vanishing Gradients in RNN/008 Attention Model.mp4 55MB
  27. 06 RNN implementation/008 Language Modeling Next Word Prediction Python 3.mp4 54MB
  28. 03 DNN Overview/018 Batch miniBatch Stocastic.mp4 54MB
  29. 10 Project I_ Book Writer/001 Introduction.mp4 53MB
  30. 03 DNN Overview/013 DNN Training Parameters.mp4 52MB
  31. 04 RNN Architecture/006 ManyToMany Model.mp4 52MB
  32. 02 Applications of RNN (Motivation)/001 Human Activity Recognition.mp4 51MB
  33. 04 RNN Architecture/002 Fixed Length Memory Model.mp4 50MB
  34. 06 RNN implementation/007 Language Modeling Next Word Prediction Python 2.mp4 49MB
  35. 07 Sentiment Classification using RNN/005 RNN Setup 1.mp4 49MB
  36. 10 Project I_ Book Writer/004 Modling RNN Model in TensorFlow.mp4 49MB
  37. 03 DNN Overview/008 Universal Approximation Therorem.mp4 49MB
  38. 03 DNN Overview/016 Training DNN Animantion.mp4 48MB
  39. 03 DNN Overview/021 Convergence Animation.mp4 48MB
  40. 02 Applications of RNN (Motivation)/003 Machine Translation.mp4 47MB
  41. 04 RNN Architecture/005 Notations.mp4 46MB
  42. 08 Vanishing Gradients in RNN/002 Introduction Vanishing Gradients in RNN.mp4 46MB
  43. 03 DNN Overview/011 Bias Term.mp4 43MB
  44. 03 DNN Overview/012 Activation Function.mp4 43MB
  45. 05 Gradient Decsent in RNN/004 Loss Function.mp4 43MB
  46. 09 TensorFlow/001 Introduction to TensorFlow.mp4 43MB
  47. 08 Vanishing Gradients in RNN/007 Bidirectional RNN.mp4 42MB
  48. 05 Gradient Decsent in RNN/006 Chain Rule.mp4 42MB
  49. 07 Sentiment Classification using RNN/003 Vocabulary Implementation From File.mp4 42MB
  50. 02 Applications of RNN (Motivation)/004 Speech Recognition.mp4 41MB
  51. 04 RNN Architecture/013 Deep RNNs.mp4 41MB
  52. 03 DNN Overview/014 Gradient Descent.mp4 41MB
  53. 03 DNN Overview/003 DNN Architecture.mp4 40MB
  54. 04 RNN Architecture/007 OneToMany Model.mp4 40MB
  55. 10 Project I_ Book Writer/005 Modling RNN Model Training.mp4 39MB
  56. 05 Gradient Decsent in RNN/003 Equations.mp4 37MB
  57. 10 Project I_ Book Writer/007 Activity.mp4 37MB
  58. 08 Vanishing Gradients in RNN/009 Attention Model Optional.mp4 37MB
  59. 05 Gradient Decsent in RNN/007 Chain Rule in Action.mp4 37MB
  60. 08 Vanishing Gradients in RNN/005 LSTM.mp4 37MB
  61. 06 RNN implementation/006 Language Modeling Next Word Prediction Python 1.mp4 36MB
  62. 03 DNN Overview/007 Discriminative vs Generative Learning.mp4 36MB
  63. 07 Sentiment Classification using RNN/002 Vocabulary Implementation Helpers.mp4 36MB
  64. 06 RNN implementation/002 Automatic Diffrenciation Pytorch.mp4 34MB
  65. 03 DNN Overview/019 Batch Normalization.mp4 34MB
  66. 03 DNN Overview/006 Number of Nuerons vs Number of Layers.mp4 33MB
  67. 03 DNN Overview/010 Decision Boundary in DNN.mp4 33MB
  68. 03 DNN Overview/005 Calculating Number of Weights of DNN.mp4 33MB
  69. 01 Introduction to Course/002 Focus of the Course.mp4 33MB
  70. 05 Gradient Decsent in RNN/005 Why Gradients.mp4 33MB
  71. 06 RNN implementation/009 Language Modeling Next Word Prediction Python 4.mp4 32MB
  72. 04 RNN Architecture/009 Activity Many to One.mp4 32MB
  73. 05 Gradient Decsent in RNN/001 Introduction to Gradient Descent Module.mp4 32MB
  74. 08 Vanishing Gradients in RNN/001 Introduction to Better RNNs Module.mp4 31MB
  75. 04 RNN Architecture/008 ManyToOne Model.mp4 30MB
  76. 13 Bonus Lecture/001 THANK YOU Bonus Video.mp4 30MB
  77. 01 Introduction to Course/003 Request for Your Honest Review.mp4 29MB
  78. 08 Vanishing Gradients in RNN/004 GRU Optional.mp4 28MB
  79. 05 Gradient Decsent in RNN/002 Example Setup.mp4 27MB
  80. 07 Sentiment Classification using RNN/004 Vectorizer.mp4 26MB
  81. 08 Vanishing Gradients in RNN/006 LSTM Optional.mp4 26MB
  82. 11 Project II_ Stock Price Prediction/005 Activity.mp4 25MB
  83. 06 RNN implementation/010 Language Modeling Next Word Prediction Python 5.mp4 25MB
  84. 03 DNN Overview/004 FeedForward FullyConnected MLP.mp4 25MB
  85. 04 RNN Architecture/011 Activity Many to Many Nmt.mp4 25MB
  86. 07 Sentiment Classification using RNN/007 WhatNext.mp4 23MB
  87. 04 RNN Architecture/012 Models Summary.mp4 21MB
  88. 11 Project II_ Stock Price Prediction/001 Problem Statement.mp4 21MB
  89. 06 RNN implementation/003 Language Modeling Next Word Prediction Vocabulary Index.mp4 20MB
  90. 04 RNN Architecture/001 Introduction to Module.mp4 20MB
  91. 06 RNN implementation/004 Language Modeling Next Word Prediction Vocabulary Index Embeddings.mp4 20MB
  92. 06 RNN implementation/005 Language Modeling Next Word Prediction RNN Architecture.mp4 19MB
  93. 03 DNN Overview/009 Why Depth.mp4 18MB
  94. 06 RNN implementation/001 Automatic Diffrenciation.mp4 16MB
  95. 02 Applications of RNN (Motivation)/007 Activity.mp4 15MB
  96. 03 DNN Overview/001 Introduction to Deep Learning Module.mp4 11MB
  97. 05 Gradient Decsent in RNN/009 Activity.mp4 9MB
  98. 09 TensorFlow/002 TensorFlow Text Classification Example using RNN.en.srt 32KB
  99. 07 Sentiment Classification using RNN/006 RNN Setup 2.en.srt 26KB
  100. 02 Applications of RNN (Motivation)/006 When to Model RNN.en.srt 23KB
  101. 10 Project I_ Book Writer/003 Modling RNN Architecture.en.srt 21KB
  102. 11 Project II_ Stock Price Prediction/004 RNN Model Training and Evaluation.en.srt 20KB
  103. 11 Project II_ Stock Price Prediction/003 Data Prepration.en.srt 19KB
  104. 10 Project I_ Book Writer/002 Data Mapping.en.srt 17KB
  105. 03 DNN Overview/022 DropOut EarlyStopping Hyperparameters.en.srt 17KB
  106. 03 DNN Overview/020 Rprop Momentum.en.srt 16KB
  107. 04 RNN Architecture/004 Weight Sharing.en.srt 16KB
  108. 06 RNN implementation/011 Language Modeling Next Word Prediction Python 6.en.srt 15KB
  109. 01 Introduction to Course/001 Introduction to Instructor and Aisciences.en.srt 15KB
  110. 03 DNN Overview/015 Backpropagation.en.srt 14KB
  111. 10 Project I_ Book Writer/006 Modling RNN Model Text Generation.en.srt 14KB
  112. 04 RNN Architecture/006 ManyToMany Model.en.srt 13KB
  113. 08 Vanishing Gradients in RNN/003 GRU.en.srt 13KB
  114. 03 DNN Overview/002 Neuron and Perceptron.en.srt 13KB
  115. 03 DNN Overview/013 DNN Training Parameters.en.srt 13KB
  116. 10 Project I_ Book Writer/001 Introduction.en.srt 13KB
  117. 03 DNN Overview/017 Weigth Initialization.en.srt 12KB
  118. 10 Project I_ Book Writer/004 Modling RNN Model in TensorFlow.en.srt 12KB
  119. 09 TensorFlow/001 Introduction to TensorFlow.en.srt 12KB
  120. 12 Further Readings and Resourses/001 Further Readings and Resourses 1.en.srt 12KB
  121. 11 Project II_ Stock Price Prediction/002 Data Set.en.srt 12KB
  122. 08 Vanishing Gradients in RNN/008 Attention Model.en.srt 12KB
  123. 04 RNN Architecture/003 Infinite Memory Architecture.en.srt 12KB
  124. 03 DNN Overview/006 Number of Nuerons vs Number of Layers.en.srt 11KB
  125. 01 Introduction to Course/002 Focus of the Course.en.srt 11KB
  126. 03 DNN Overview/018 Batch miniBatch Stocastic.en.srt 11KB
  127. 05 Gradient Decsent in RNN/008 BackPropagation Through Time.en.srt 10KB
  128. 04 RNN Architecture/002 Fixed Length Memory Model.en.srt 10KB
  129. 04 RNN Architecture/010 ManyToMany Different Sizes Model.en.srt 10KB
  130. 07 Sentiment Classification using RNN/001 Vocabulary Implementation.en.srt 10KB
  131. 06 RNN implementation/002 Automatic Diffrenciation Pytorch.en.srt 10KB
  132. 03 DNN Overview/014 Gradient Descent.en.srt 10KB
  133. 02 Applications of RNN (Motivation)/003 Machine Translation.en.srt 10KB
  134. 03 DNN Overview/003 DNN Architecture.en.srt 10KB
  135. 03 DNN Overview/012 Activation Function.en.srt 10KB
  136. 04 RNN Architecture/013 Deep RNNs.en.srt 9KB
  137. 05 Gradient Decsent in RNN/001 Introduction to Gradient Descent Module.en.srt 9KB
  138. 08 Vanishing Gradients in RNN/002 Introduction Vanishing Gradients in RNN.en.srt 9KB
  139. 02 Applications of RNN (Motivation)/001 Human Activity Recognition.en.srt 9KB
  140. 08 Vanishing Gradients in RNN/005 LSTM.en.srt 9KB
  141. 04 RNN Architecture/005 Notations.en.srt 9KB
  142. 05 Gradient Decsent in RNN/004 Loss Function.en.srt 9KB
  143. 05 Gradient Decsent in RNN/002 Example Setup.en.srt 9KB
  144. 04 RNN Architecture/007 OneToMany Model.en.srt 9KB
  145. 08 Vanishing Gradients in RNN/007 Bidirectional RNN.en.srt 9KB
  146. 06 RNN implementation/007 Language Modeling Next Word Prediction Python 2.en.srt 9KB
  147. 10 Project I_ Book Writer/005 Modling RNN Model Training.en.srt 9KB
  148. 10 Project I_ Book Writer/007 Activity.en.srt 8KB
  149. 08 Vanishing Gradients in RNN/001 Introduction to Better RNNs Module.en.srt 8KB
  150. 05 Gradient Decsent in RNN/006 Chain Rule.en.srt 8KB
  151. 03 DNN Overview/008 Universal Approximation Therorem.en.srt 8KB
  152. 06 RNN implementation/008 Language Modeling Next Word Prediction Python 3.en.srt 8KB
  153. 04 RNN Architecture/009 Activity Many to One.en.srt 8KB
  154. 02 Applications of RNN (Motivation)/005 Stock Price Predictions.en.srt 8KB
  155. 03 DNN Overview/005 Calculating Number of Weights of DNN.en.srt 8KB
  156. 06 RNN implementation/006 Language Modeling Next Word Prediction Python 1.en.srt 8KB
  157. 02 Applications of RNN (Motivation)/002 Image Captioning.en.srt 8KB
  158. 07 Sentiment Classification using RNN/005 RNN Setup 1.en.srt 7KB
  159. 11 Project II_ Stock Price Prediction/001 Problem Statement.en.srt 7KB
  160. 04 RNN Architecture/001 Introduction to Module.en.srt 7KB
  161. 11 Project II_ Stock Price Prediction/005 Activity.en.srt 7KB
  162. 05 Gradient Decsent in RNN/005 Why Gradients.en.srt 7KB
  163. 03 DNN Overview/010 Decision Boundary in DNN.en.srt 7KB
  164. 08 Vanishing Gradients in RNN/009 Attention Model Optional.en.srt 7KB
  165. 08 Vanishing Gradients in RNN/004 GRU Optional.en.srt 7KB
  166. 02 Applications of RNN (Motivation)/004 Speech Recognition.en.srt 7KB
  167. 05 Gradient Decsent in RNN/007 Chain Rule in Action.en.srt 7KB
  168. 03 DNN Overview/019 Batch Normalization.en.srt 7KB
  169. 07 Sentiment Classification using RNN/003 Vocabulary Implementation From File.en.srt 7KB
  170. 08 Vanishing Gradients in RNN/006 LSTM Optional.en.srt 7KB
  171. 03 DNN Overview/011 Bias Term.en.srt 6KB
  172. 05 Gradient Decsent in RNN/003 Equations.en.srt 6KB
  173. 04 RNN Architecture/008 ManyToOne Model.en.srt 6KB
  174. 03 DNN Overview/007 Discriminative vs Generative Learning.en.srt 6KB
  175. 03 DNN Overview/004 FeedForward FullyConnected MLP.en.srt 6KB
  176. 04 RNN Architecture/011 Activity Many to Many Nmt.en.srt 6KB
  177. 06 RNN implementation/009 Language Modeling Next Word Prediction Python 4.en.srt 6KB
  178. 07 Sentiment Classification using RNN/004 Vectorizer.en.srt 5KB
  179. 03 DNN Overview/009 Why Depth.en.srt 5KB
  180. 07 Sentiment Classification using RNN/002 Vocabulary Implementation Helpers.en.srt 5KB
  181. 06 RNN implementation/005 Language Modeling Next Word Prediction RNN Architecture.en.srt 5KB
  182. 06 RNN implementation/001 Automatic Diffrenciation.en.srt 5KB
  183. 06 RNN implementation/010 Language Modeling Next Word Prediction Python 5.en.srt 5KB
  184. 03 DNN Overview/001 Introduction to Deep Learning Module.en.srt 4KB
  185. 03 DNN Overview/021 Convergence Animation.en.srt 4KB
  186. 03 DNN Overview/016 Training DNN Animantion.en.srt 4KB
  187. 06 RNN implementation/003 Language Modeling Next Word Prediction Vocabulary Index.en.srt 4KB
  188. 07 Sentiment Classification using RNN/007 WhatNext.en.srt 4KB
  189. 04 RNN Architecture/012 Models Summary.en.srt 4KB
  190. 06 RNN implementation/004 Language Modeling Next Word Prediction Vocabulary Index Embeddings.en.srt 4KB
  191. 02 Applications of RNN (Motivation)/007 Activity.en.srt 3KB
  192. 13 Bonus Lecture/001 THANK YOU Bonus Video.en.srt 3KB
  193. 01 Introduction to Course/003 Request for Your Honest Review.en.srt 2KB
  194. 05 Gradient Decsent in RNN/009 Activity.en.srt 2KB
  195. 01 Introduction to Course/004 Link to oneDrive and Github to get the Python Notebooks.html 2KB
  196. 04 RNN Architecture/GetFreeCourses.Co.url 116B
  197. 09 TensorFlow/GetFreeCourses.Co.url 116B
  198. Download Paid Udemy Courses For Free.url 116B
  199. GetFreeCourses.Co.url 116B