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[] Udemy - TensorFlow 2.0 Practical Advanced

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文件列表

  1. 01 - INTRODUCTION AND COURSE OUTLINE/007 Whats New in TensorFlow 2.0.mp4 219MB
  2. 05 - DEEP DREAM/008 Deep Dream Coding P5.mp4 211MB
  3. 05 - DEEP DREAM/001 What is Deep Dream.mp4 194MB
  4. 05 - DEEP DREAM/002 How does DeepDream Algo work.mp4 155MB
  5. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/001 ANN and CNN - Part 1.mp4 142MB
  6. 04 - AUTOENCODERS/013 Autoencoders Project 2 - Coding P2.mp4 141MB
  7. 04 - AUTOENCODERS/001 Autoencoders intuition.mp4 119MB
  8. 04 - AUTOENCODERS/20087012-traffic-signs-data.zip 116MB
  9. 03 - TRANSFER LEARNING (TF HUB)/006 Transfer Learning Project 1 - Coding P2.mp4 110MB
  10. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/010 Project 1 - Solution Part 2.mp4 101MB
  11. 06 - GANs/010 GANS Project 1 P5.mp4 97MB
  12. 08 - TENSORFLOW SERVING AND TENSORBOARD/003 TF Serving Coding Part 3.mp4 97MB
  13. 05 - DEEP DREAM/007 Deep Dream Coding P4.mp4 97MB
  14. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/007 ANN and CNN - Part 7.mp4 96MB
  15. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/006 Vanishing Gradient Problem.mp4 96MB
  16. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/007 Long Short Term Memory LSTM.mp4 92MB
  17. 01 - INTRODUCTION AND COURSE OUTLINE/004 ML, AI and DL.mp4 92MB
  18. 06 - GANs/001 GANS intuition.mp4 91MB
  19. 03 - TRANSFER LEARNING (TF HUB)/005 Transfer Learning Project 1 - Coding P1.mp4 89MB
  20. 03 - TRANSFER LEARNING (TF HUB)/007 Transfer Learning Project 1 - Coding P3.mp4 88MB
  21. 06 - GANs/003 Let's put the Discriminator and Generator together.mp4 88MB
  22. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/005 ANN and CNN - Part 5.mp4 87MB
  23. 03 - TRANSFER LEARNING (TF HUB)/008 Transfer Learning Project 1 - Coding P4.mp4 85MB
  24. 01 - INTRODUCTION AND COURSE OUTLINE/010 Eager Execution.mp4 84MB
  25. 04 - AUTOENCODERS/009 Autoencoders Project 1 - Coding P3.mp4 81MB
  26. 03 - TRANSFER LEARNING (TF HUB)/012 Transfer Learning Project 2 - Coding P3.mp4 79MB
  27. 08 - TENSORFLOW SERVING AND TENSORBOARD/005 Tensorboard Example 2.mp4 78MB
  28. 04 - AUTOENCODERS/007 Autoencoders Project 1 - Coding P1.mp4 78MB
  29. 04 - AUTOENCODERS/010 Autoencoders Project 1 - Coding P4.mp4 77MB
  30. 03 - TRANSFER LEARNING (TF HUB)/002 Transfer Learning Process.mp4 76MB
  31. 08 - TENSORFLOW SERVING AND TENSORBOARD/004 Tensorboard Example 1.mp4 76MB
  32. 04 - AUTOENCODERS/012 Autoencoders Project 2 - Coding P1.mp4 74MB
  33. 05 - DEEP DREAM/005 Deep Dream Coding P2.mp4 73MB
  34. 04 - AUTOENCODERS/008 Autoencoders Project 1 - Coding P2.mp4 72MB
  35. 08 - TENSORFLOW SERVING AND TENSORBOARD/001 TF Serving Coding Part 1.mp4 72MB
  36. 06 - GANs/007 GANS Project 1 P2.mp4 70MB
  37. 03 - TRANSFER LEARNING (TF HUB)/001 What is Transfer learning.mp4 69MB
  38. 03 - TRANSFER LEARNING (TF HUB)/009 Transfer Learning Project 1 - Coding P5.mp4 68MB
  39. 08 - TENSORFLOW SERVING AND TENSORBOARD/002 TF Serving Coding Part 2.mp4 63MB
  40. 03 - TRANSFER LEARNING (TF HUB)/011 Transfer Learning Project 2 - Coding P2.mp4 62MB
  41. 01 - INTRODUCTION AND COURSE OUTLINE/005 Machine Learning Big Picture.mp4 59MB
  42. 06 - GANs/005 GANs applications.mp4 57MB
  43. 01 - INTRODUCTION AND COURSE OUTLINE/002 Course Overview.mp4 56MB
  44. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/005 Fun with RNN.mp4 56MB
  45. 04 - AUTOENCODERS/005 Variational Autoencoders (VARS).mp4 53MB
  46. 04 - AUTOENCODERS/002 Autencoders Math.mp4 52MB
  47. 01 - INTRODUCTION AND COURSE OUTLINE/011 Keras API.mp4 52MB
  48. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/011 RNN Project #1 - Part #4.mp4 51MB
  49. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/009 Project 1 - Solution Part 1.mp4 50MB
  50. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/002 RNN Architecture.mp4 49MB
  51. 06 - GANs/006 GANS Project 1 P1.mp4 49MB
  52. 06 - GANs/004 GAN Lab.mp4 49MB
  53. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/008 RNN Project #1 - Part #1.mp4 49MB
  54. 01 - INTRODUCTION AND COURSE OUTLINE/001 Course Introduction and Welcome Message.mp4 47MB
  55. 06 - GANs/002 Discriminator and Generator Networks.mp4 46MB
  56. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/010 RNN Project #1 - Part #3.mp4 46MB
  57. 04 - AUTOENCODERS/003 Linear Autoencoders vs. PCA.mp4 44MB
  58. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/008 ANN and CNN - Part 8.mp4 44MB
  59. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/006 ANN and CNN - Part 6.mp4 42MB
  60. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/003 ANN and CNN - Part 3.mp4 42MB
  61. 05 - DEEP DREAM/004 Deep Dream Coding P1.mp4 42MB
  62. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/002 ANN and CNN - Part 2.mp4 42MB
  63. 04 - AUTOENCODERS/004 Autoencoders Applications.mp4 41MB
  64. 06 - GANs/009 GANS Project 1 P4.mp4 40MB
  65. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/004 ANN and CNN - Part 4.mp4 39MB
  66. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/001 Recurrent Neural Networks Intuition.mp4 39MB
  67. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/009 RNN Project #1 - Part #2.mp4 36MB
  68. 05 - DEEP DREAM/006 Deep Dream Coding P3.mp4 35MB
  69. 03 - TRANSFER LEARNING (TF HUB)/010 Transfer Learning Project 2 - Coding P1.mp4 32MB
  70. 03 - TRANSFER LEARNING (TF HUB)/004 ImageNet.mp4 31MB
  71. 04 - AUTOENCODERS/006 Autoencoders CNN Dimensionality Review.mp4 31MB
  72. 05 - DEEP DREAM/003 Deep Dream Simpified.mp4 29MB
  73. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/004 RNN Math.mp4 28MB
  74. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/003 What makes RNN so special.mp4 27MB
  75. 03 - TRANSFER LEARNING (TF HUB)/003 Transfer Learning Strategies.mp4 26MB
  76. 06 - GANs/008 GANS Project 1 P3.mp4 26MB
  77. 08 - TENSORFLOW SERVING AND TENSORBOARD/006 Distributed Strategy.mp4 26MB
  78. 04 - AUTOENCODERS/011 Autoencoders Project 1 - Coding P5.mp4 25MB
  79. 01 - INTRODUCTION AND COURSE OUTLINE/008 What is Google Colab.mp4 21MB
  80. 01 - INTRODUCTION AND COURSE OUTLINE/20076800-TF-2.0-Practical-Advanced-Course-Package.zip 20MB
  81. 01 - INTRODUCTION AND COURSE OUTLINE/009 Google Colab Demo.mp4 15MB
  82. 01 - INTRODUCTION AND COURSE OUTLINE/006 TF 2.0 and Google Colab Overview.mp4 6MB
  83. 03 - TRANSFER LEARNING (TF HUB)/20086730-Transfer-Learning-Data.zip 5MB
  84. 05 - DEEP DREAM/20086990-StaryNight.jpg 475KB
  85. 04 - AUTOENCODERS/013 Autoencoders Project 2 - Coding P2_en.vtt 28KB
  86. 05 - DEEP DREAM/008 Deep Dream Coding P5_en.vtt 27KB
  87. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/007 Long Short Term Memory LSTM_en.vtt 24KB
  88. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/001 ANN and CNN - Part 1_en.vtt 24KB
  89. 05 - DEEP DREAM/002 How does DeepDream Algo work_en.vtt 21KB
  90. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/007 ANN and CNN - Part 7_en.vtt 21KB
  91. 01 - INTRODUCTION AND COURSE OUTLINE/007 Whats New in TensorFlow 2.0_en.vtt 20KB
  92. 03 - TRANSFER LEARNING (TF HUB)/006 Transfer Learning Project 1 - Coding P2_en.vtt 19KB
  93. 04 - AUTOENCODERS/002 Autencoders Math_en.vtt 19KB
  94. 06 - GANs/003 Let's put the Discriminator and Generator together_en.vtt 19KB
  95. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/003 ANN and CNN - Part 3_en.vtt 18KB
  96. 06 - GANs/010 GANS Project 1 P5_en.vtt 17KB
  97. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/010 Project 1 - Solution Part 2_en.vtt 17KB
  98. 08 - TENSORFLOW SERVING AND TENSORBOARD/004 Tensorboard Example 1_en.vtt 17KB
  99. 08 - TENSORFLOW SERVING AND TENSORBOARD/003 TF Serving Coding Part 3_en.vtt 17KB
  100. 06 - GANs/004 GAN Lab_en.vtt 17KB
  101. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/006 Vanishing Gradient Problem_en.vtt 17KB
  102. 01 - INTRODUCTION AND COURSE OUTLINE/004 ML, AI and DL_en.vtt 16KB
  103. 04 - AUTOENCODERS/001 Autoencoders intuition_en.vtt 16KB
  104. 04 - AUTOENCODERS/012 Autoencoders Project 2 - Coding P1_en.vtt 16KB
  105. 03 - TRANSFER LEARNING (TF HUB)/008 Transfer Learning Project 1 - Coding P4_en.vtt 16KB
  106. 05 - DEEP DREAM/007 Deep Dream Coding P4_en.vtt 16KB
  107. 06 - GANs/001 GANS intuition_en.vtt 15KB
  108. 03 - TRANSFER LEARNING (TF HUB)/007 Transfer Learning Project 1 - Coding P3_en.vtt 14KB
  109. 06 - GANs/007 GANS Project 1 P2_en.vtt 14KB
  110. 03 - TRANSFER LEARNING (TF HUB)/002 Transfer Learning Process_en.vtt 14KB
  111. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/005 ANN and CNN - Part 5_en.vtt 14KB
  112. 01 - INTRODUCTION AND COURSE OUTLINE/010 Eager Execution_en.vtt 14KB
  113. 04 - AUTOENCODERS/010 Autoencoders Project 1 - Coding P4_en.vtt 13KB
  114. 04 - AUTOENCODERS/007 Autoencoders Project 1 - Coding P1_en.vtt 13KB
  115. 04 - AUTOENCODERS/009 Autoencoders Project 1 - Coding P3_en.vtt 13KB
  116. 03 - TRANSFER LEARNING (TF HUB)/005 Transfer Learning Project 1 - Coding P1_en.vtt 13KB
  117. 04 - AUTOENCODERS/006 Autoencoders CNN Dimensionality Review_en.vtt 13KB
  118. 04 - AUTOENCODERS/004 Autoencoders Applications_en.vtt 13KB
  119. 08 - TENSORFLOW SERVING AND TENSORBOARD/001 TF Serving Coding Part 1_en.vtt 13KB
  120. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/008 ANN and CNN - Part 8_en.vtt 13KB
  121. 05 - DEEP DREAM/001 What is Deep Dream_en.vtt 13KB
  122. 03 - TRANSFER LEARNING (TF HUB)/012 Transfer Learning Project 2 - Coding P3_en.vtt 13KB
  123. 05 - DEEP DREAM/005 Deep Dream Coding P2_en.vtt 12KB
  124. 04 - AUTOENCODERS/008 Autoencoders Project 1 - Coding P2_en.vtt 12KB
  125. 03 - TRANSFER LEARNING (TF HUB)/004 ImageNet_en.vtt 12KB
  126. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/002 RNN Architecture_en.vtt 12KB
  127. 08 - TENSORFLOW SERVING AND TENSORBOARD/005 Tensorboard Example 2_en.vtt 12KB
  128. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/002 ANN and CNN - Part 2_en.vtt 11KB
  129. 03 - TRANSFER LEARNING (TF HUB)/001 What is Transfer learning_en.vtt 11KB
  130. 01 - INTRODUCTION AND COURSE OUTLINE/005 Machine Learning Big Picture_en.vtt 11KB
  131. 08 - TENSORFLOW SERVING AND TENSORBOARD/002 TF Serving Coding Part 2_en.vtt 11KB
  132. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/011 RNN Project #1 - Part #4_en.vtt 11KB
  133. 06 - GANs/006 GANS Project 1 P1_en.vtt 11KB
  134. 03 - TRANSFER LEARNING (TF HUB)/009 Transfer Learning Project 1 - Coding P5_en.vtt 11KB
  135. 04 - AUTOENCODERS/005 Variational Autoencoders (VARS)_en.vtt 11KB
  136. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/008 RNN Project #1 - Part #1_en.vtt 11KB
  137. 01 - INTRODUCTION AND COURSE OUTLINE/002 Course Overview_en.vtt 11KB
  138. 03 - TRANSFER LEARNING (TF HUB)/003 Transfer Learning Strategies_en.vtt 11KB
  139. 01 - INTRODUCTION AND COURSE OUTLINE/009 Google Colab Demo_en.vtt 10KB
  140. 03 - TRANSFER LEARNING (TF HUB)/011 Transfer Learning Project 2 - Coding P2_en.vtt 9KB
  141. 01 - INTRODUCTION AND COURSE OUTLINE/011 Keras API_en.vtt 9KB
  142. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/003 What makes RNN so special_en.vtt 9KB
  143. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/009 RNN Project #1 - Part #2_en.vtt 9KB
  144. 05 - DEEP DREAM/003 Deep Dream Simpified_en.vtt 8KB
  145. 06 - GANs/005 GANs applications_en.vtt 8KB
  146. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/009 Project 1 - Solution Part 1_en.vtt 8KB
  147. 06 - GANs/002 Discriminator and Generator Networks_en.vtt 8KB
  148. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/004 ANN and CNN - Part 4_en.vtt 8KB
  149. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/010 RNN Project #1 - Part #3_en.vtt 8KB
  150. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/006 ANN and CNN - Part 6_en.vtt 8KB
  151. 05 - DEEP DREAM/006 Deep Dream Coding P3_en.vtt 8KB
  152. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/004 RNN Math_en.vtt 8KB
  153. 04 - AUTOENCODERS/003 Linear Autoencoders vs. PCA_en.vtt 8KB
  154. 01 - INTRODUCTION AND COURSE OUTLINE/008 What is Google Colab_en.vtt 7KB
  155. 03 - TRANSFER LEARNING (TF HUB)/010 Transfer Learning Project 2 - Coding P1_en.vtt 7KB
  156. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/005 Fun with RNN_en.vtt 7KB
  157. 05 - DEEP DREAM/004 Deep Dream Coding P1_en.vtt 7KB
  158. 06 - GANs/009 GANS Project 1 P4_en.vtt 7KB
  159. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/001 Recurrent Neural Networks Intuition_en.vtt 6KB
  160. 06 - GANs/008 GANS Project 1 P3_en.vtt 5KB
  161. 04 - AUTOENCODERS/011 Autoencoders Project 1 - Coding P5_en.vtt 5KB
  162. 08 - TENSORFLOW SERVING AND TENSORBOARD/006 Distributed Strategy_en.vtt 4KB
  163. 01 - INTRODUCTION AND COURSE OUTLINE/006 TF 2.0 and Google Colab Overview_en.vtt 3KB
  164. 01 - INTRODUCTION AND COURSE OUTLINE/001 Course Introduction and Welcome Message_en.vtt 3KB
  165. 01 - INTRODUCTION AND COURSE OUTLINE/003 BONUS Learning Path.html 1KB
  166. 08 - TENSORFLOW SERVING AND TENSORBOARD/external-assets-links.txt 329B
  167. 01 - INTRODUCTION AND COURSE OUTLINE/012 Get the materials.html 321B
  168. 03 - TRANSFER LEARNING (TF HUB)/external-assets-links.txt 238B
  169. 04 - AUTOENCODERS/external-assets-links.txt 228B
  170. 06 - GANs/external-assets-links.txt 142B
  171. 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/external-assets-links.txt 123B
  172. 01 - INTRODUCTION AND COURSE OUTLINE/external-assets-links.txt 120B
  173. 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/external-assets-links.txt 116B
  174. 05 - DEEP DREAM/external-assets-links.txt 102B