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[] Udemy - Advanced AI Deep Reinforcement Learning in Python

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文件列表

  1. 06 Deep Q-Learning/046 Deep Q-Learning in Tensorflow for Breakout.mp4 235MB
  2. 06 Deep Q-Learning/047 Deep Q-Learning in Theano for Breakout.mp4 234MB
  3. 09 Appendix FAQ/062 Windows-Focused Environment Setup E8.mp4 186MB
  4. 07 A3C/054 A3C - Code pt 4.mp4 184MB
  5. 08 Theano and Tensorflow Basics Review/060 (Review) Tensorflow Neural Network in Code.mp4 97MB
  6. 08 Theano and Tensorflow Basics Review/057 (Review) Theano Basics.mp4 93MB
  7. 08 Theano and Tensorflow Basics Review/058 (Review) Theano Neural Network in Code.mp4 87MB
  8. 07 A3C/053 A3C - Code pt 3.mp4 85MB
  9. 08 Theano and Tensorflow Basics Review/059 (Review) Tensorflow Basics.mp4 81MB
  10. 09 Appendix FAQ/068 Proof that using Jupyter Notebook is the same as not using it.mp4 78MB
  11. 07 A3C/050 A3C - Theory and Outline.mp4 72MB
  12. 07 A3C/052 A3C - Code pt 2.mp4 58MB
  13. 07 A3C/051 A3C - Code pt 1 (Warmup).mp4 50MB
  14. 09 Appendix FAQ/063 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 44MB
  15. 09 Appendix FAQ/067 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39MB
  16. 09 Appendix FAQ/073 BONUS Where to get Udemy coupons and FREE deep learning material.mp4 38MB
  17. 09 Appendix FAQ/072 What order should I take your courses in (part 2).mp4 38MB
  18. 09 Appendix FAQ/071 What order should I take your courses in (part 1).mp4 29MB
  19. 06 Deep Q-Learning/045 Pseudocode and Replay Memory.mp4 28MB
  20. 09 Appendix FAQ/064 How to Code by Yourself (part 1).mp4 25MB
  21. 05 Policy Gradients/038 Mountain Car Continuous Theano (v2).mp4 22MB
  22. 05 Policy Gradients/036 Mountain Car Continuous Tensorflow.mp4 20MB
  23. 05 Policy Gradients/035 Mountain Car Continuous Theano.mp4 19MB
  24. 01 Introduction and Logistics/004 Tensorflow or Theano - Your Choice.mp4 19MB
  25. 05 Policy Gradients/037 Mountain Car Continuous Tensorflow (v2).mp4 19MB
  26. 02 Background Review/009 Review of Temporal Difference Learning.mp4 19MB
  27. 09 Appendix FAQ/066 How to Succeed in this Course (Long Version).mp4 18MB
  28. 05 Policy Gradients/031 Policy Gradient in TensorFlow for CartPole.mp4 18MB
  29. 05 Policy Gradients/030 Policy Gradient Methods.mp4 18MB
  30. 09 Appendix FAQ/070 Is Theano Dead.mp4 18MB
  31. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Neural Networks.mp4 17MB
  32. 01 Introduction and Logistics/001 Introduction and Outline.mp4 16MB
  33. 06 Deep Q-Learning/042 Deep Q-Learning in Tensorflow for CartPole.mp4 15MB
  34. 09 Appendix FAQ/065 How to Code by Yourself (part 2).mp4 15MB
  35. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 CartPole with Bins (Code).mp4 15MB
  36. 06 Deep Q-Learning/041 Deep Q-Learning Techniques.mp4 14MB
  37. 06 Deep Q-Learning/043 Deep Q-Learning in Theano for CartPole.mp4 14MB
  38. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with Mountain Car (Code).mp4 14MB
  39. 05 Policy Gradients/032 Policy Gradient in Theano for CartPole.mp4 13MB
  40. 02 Background Review/006 Review of Markov Decision Processes.mp4 12MB
  41. 04 TD Lambda/027 TD Lambda.mp4 12MB
  42. 02 Background Review/011 Review of Deep Learning.mp4 11MB
  43. 06 Deep Q-Learning/049 Deep Q-Learning Section Summary.mp4 10MB
  44. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Random Search.mp4 10MB
  45. 04 TD Lambda/026 N-Step in Code.mp4 9MB
  46. 07 A3C/056 Course Summary.mp4 9MB
  47. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 RBF Networks with CartPole (Code).mp4 9MB
  48. 07 A3C/055 A3C - Section Summary.mp4 9MB
  49. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 OpenAI Gym Tutorial.mp4 9MB
  50. 06 Deep Q-Learning/044 Additional Implementation Details for Atari.mp4 9MB
  51. 09 Appendix FAQ/069 Python 2 vs Python 3.mp4 8MB
  52. 04 TD Lambda/028 TD Lambda in Code.mp4 8MB
  53. 06 Deep Q-Learning/048 Partially Observable MDPs.mp4 8MB
  54. 05 Policy Gradients/033 Continuous Action Spaces.mp4 7MB
  55. 02 Background Review/007 Review of Dynamic Programming.mp4 7MB
  56. 05 Policy Gradients/034 Mountain Car Continuous Specifics.mp4 7MB
  57. 02 Background Review/008 Review of Monte Carlo Methods.mp4 6MB
  58. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins (Theory).mp4 6MB
  59. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/023 Plugging in a Neural Network.mp4 6MB
  60. 06 Deep Q-Learning/040 Deep Q-Learning Intro.mp4 6MB
  61. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/021 Theano Warmup.mp4 6MB
  62. 09 Appendix FAQ/061 What is the Appendix.mp4 5MB
  63. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/024 OpenAI Gym Section Summary.mp4 5MB
  64. 01 Introduction and Logistics/002 Where to get the Code.mp4 5MB
  65. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/022 Tensorflow Warmup.mp4 5MB
  66. 04 TD Lambda/025 N-Step Methods.mp4 5MB
  67. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 Saving a Video.mp4 5MB
  68. 02 Background Review/005 Review Intro.mp4 4MB
  69. 02 Background Review/010 Review of Approximation Methods for Reinforcement Learning.mp4 4MB
  70. 04 TD Lambda/029 TD Lambda Summary.mp4 4MB
  71. 05 Policy Gradients/039 Policy Gradient Section Summary.mp4 3MB
  72. 01 Introduction and Logistics/003 How to Succeed in this Course.mp4 3MB
  73. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/019 RBF Networks with CartPole (Theory).mp4 3MB
  74. 09 Appendix FAQ/067 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.ro.srt 35KB
  75. 09 Appendix FAQ/067 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.id.srt 34KB
  76. 09 Appendix FAQ/067 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.pt.srt 34KB
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  78. 09 Appendix FAQ/067 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.it.srt 34KB
  79. 09 Appendix FAQ/067 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.pl.srt 34KB
  80. 09 Appendix FAQ/067 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.en.srt 32KB
  81. 06 Deep Q-Learning/046 Deep Q-Learning in Tensorflow for Breakout.ro.srt 32KB
  82. 06 Deep Q-Learning/047 Deep Q-Learning in Theano for Breakout.ro.srt 31KB
  83. 06 Deep Q-Learning/047 Deep Q-Learning in Theano for Breakout.es.srt 31KB
  84. 06 Deep Q-Learning/046 Deep Q-Learning in Tensorflow for Breakout.es.srt 31KB
  85. 06 Deep Q-Learning/047 Deep Q-Learning in Theano for Breakout.it.srt 31KB
  86. 06 Deep Q-Learning/046 Deep Q-Learning in Tensorflow for Breakout.it.srt 31KB
  87. 06 Deep Q-Learning/047 Deep Q-Learning in Theano for Breakout.id.srt 30KB
  88. 06 Deep Q-Learning/046 Deep Q-Learning in Tensorflow for Breakout.id.srt 30KB
  89. 06 Deep Q-Learning/046 Deep Q-Learning in Tensorflow for Breakout.pt.srt 30KB
  90. 06 Deep Q-Learning/047 Deep Q-Learning in Theano for Breakout.pt.srt 30KB
  91. 06 Deep Q-Learning/046 Deep Q-Learning in Tensorflow for Breakout.pl.srt 30KB
  92. 06 Deep Q-Learning/047 Deep Q-Learning in Theano for Breakout.pl.srt 30KB
  93. 06 Deep Q-Learning/046 Deep Q-Learning in Tensorflow for Breakout.en.srt 28KB
  94. 06 Deep Q-Learning/047 Deep Q-Learning in Theano for Breakout.en.srt 28KB
  95. 09 Appendix FAQ/072 What order should I take your courses in (part 2).ro.srt 26KB
  96. 09 Appendix FAQ/072 What order should I take your courses in (part 2).es.srt 25KB
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  100. 09 Appendix FAQ/064 How to Code by Yourself (part 1).ro.srt 25KB
  101. 09 Appendix FAQ/072 What order should I take your courses in (part 2).pl.srt 25KB
  102. 09 Appendix FAQ/064 How to Code by Yourself (part 1).pt.srt 24KB
  103. 09 Appendix FAQ/064 How to Code by Yourself (part 1).es.srt 24KB
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  105. 09 Appendix FAQ/064 How to Code by Yourself (part 1).it.srt 24KB
  106. 09 Appendix FAQ/064 How to Code by Yourself (part 1).pl.srt 24KB
  107. 07 A3C/054 A3C - Code pt 4.ro.srt 23KB
  108. 09 Appendix FAQ/072 What order should I take your courses in (part 2).en.srt 23KB
  109. 07 A3C/054 A3C - Code pt 4.es.srt 23KB
  110. 07 A3C/054 A3C - Code pt 4.it.srt 23KB
  111. 09 Appendix FAQ/064 How to Code by Yourself (part 1).en.srt 23KB
  112. 07 A3C/054 A3C - Code pt 4.id.srt 23KB
  113. 09 Appendix FAQ/062 Windows-Focused Environment Setup E8.ro.srt 22KB
  114. 07 A3C/054 A3C - Code pt 4.pt.srt 22KB
  115. 07 A3C/050 A3C - Theory and Outline.ro.srt 22KB
  116. 07 A3C/054 A3C - Code pt 4.pl.srt 22KB
  117. 09 Appendix FAQ/062 Windows-Focused Environment Setup E8.id.srt 22KB
  118. 09 Appendix FAQ/062 Windows-Focused Environment Setup E8.es.srt 22KB
  119. 07 A3C/050 A3C - Theory and Outline.id.srt 22KB
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  122. 09 Appendix FAQ/062 Windows-Focused Environment Setup E8.it.srt 21KB
  123. 09 Appendix FAQ/062 Windows-Focused Environment Setup E8.pt.srt 21KB
  124. 07 A3C/050 A3C - Theory and Outline.it.srt 21KB
  125. 07 A3C/054 A3C - Code pt 4.en.srt 21KB
  126. 07 A3C/050 A3C - Theory and Outline.en.srt 20KB
  127. 09 Appendix FAQ/062 Windows-Focused Environment Setup E8.en.srt 20KB
  128. 09 Appendix FAQ/071 What order should I take your courses in (part 1).ro.srt 18KB
  129. 09 Appendix FAQ/071 What order should I take your courses in (part 1).es.srt 17KB
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  132. 09 Appendix FAQ/071 What order should I take your courses in (part 1).it.srt 17KB
  133. 09 Appendix FAQ/071 What order should I take your courses in (part 1).pl.srt 17KB
  134. 05 Policy Gradients/030 Policy Gradient Methods.ro.srt 16KB
  135. 01 Introduction and Logistics/001 Introduction and Outline.ro.srt 16KB
  136. 09 Appendix FAQ/066 How to Succeed in this Course (Long Version).ro.srt 16KB
  137. 05 Policy Gradients/030 Policy Gradient Methods.it.srt 16KB
  138. 05 Policy Gradients/030 Policy Gradient Methods.es.srt 16KB
  139. 09 Appendix FAQ/071 What order should I take your courses in (part 1).en.srt 16KB
  140. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Neural Networks.ro.srt 16KB
  141. 05 Policy Gradients/030 Policy Gradient Methods.id.srt 16KB
  142. 09 Appendix FAQ/063 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.ro.srt 16KB
  143. 01 Introduction and Logistics/001 Introduction and Outline.es.srt 16KB
  144. 01 Introduction and Logistics/001 Introduction and Outline.it.srt 16KB
  145. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Neural Networks.es.srt 16KB
  146. 05 Policy Gradients/030 Policy Gradient Methods.pl.srt 16KB
  147. 01 Introduction and Logistics/001 Introduction and Outline.id.srt 16KB
  148. 05 Policy Gradients/030 Policy Gradient Methods.pt.srt 16KB
  149. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Neural Networks.pt.srt 16KB
  150. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Neural Networks.it.srt 16KB
  151. 01 Introduction and Logistics/001 Introduction and Outline.pl.srt 16KB
  152. 09 Appendix FAQ/063 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.es.srt 16KB
  153. 09 Appendix FAQ/066 How to Succeed in this Course (Long Version).id.srt 15KB
  154. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Neural Networks.pl.srt 15KB
  155. 09 Appendix FAQ/063 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.pt.srt 15KB
  156. 09 Appendix FAQ/066 How to Succeed in this Course (Long Version).pt.srt 15KB
  157. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Neural Networks.id.srt 15KB
  158. 09 Appendix FAQ/063 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.pl.srt 15KB
  159. 01 Introduction and Logistics/001 Introduction and Outline.pt.srt 15KB
  160. 09 Appendix FAQ/063 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.id.srt 15KB
  161. 09 Appendix FAQ/063 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.it.srt 15KB
  162. 09 Appendix FAQ/066 How to Succeed in this Course (Long Version).es.srt 15KB
  163. 09 Appendix FAQ/068 Proof that using Jupyter Notebook is the same as not using it.ro.srt 15KB
  164. 09 Appendix FAQ/066 How to Succeed in this Course (Long Version).pl.srt 15KB
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  166. 09 Appendix FAQ/068 Proof that using Jupyter Notebook is the same as not using it.es.srt 15KB
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  170. 05 Policy Gradients/030 Policy Gradient Methods.en.srt 15KB
  171. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Neural Networks.en.srt 15KB
  172. 09 Appendix FAQ/066 How to Succeed in this Course (Long Version).en.srt 15KB
  173. 01 Introduction and Logistics/001 Introduction and Outline.en.srt 14KB
  174. 09 Appendix FAQ/063 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.en.srt 14KB
  175. 09 Appendix FAQ/065 How to Code by Yourself (part 2).ro.srt 14KB
  176. 09 Appendix FAQ/068 Proof that using Jupyter Notebook is the same as not using it.pl.srt 14KB
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  178. 09 Appendix FAQ/065 How to Code by Yourself (part 2).pt.srt 14KB
  179. 09 Appendix FAQ/070 Is Theano Dead.ro.srt 14KB
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  186. 09 Appendix FAQ/065 How to Code by Yourself (part 2).it.srt 14KB
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  188. 06 Deep Q-Learning/041 Deep Q-Learning Techniques.ro.srt 14KB
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  190. 06 Deep Q-Learning/041 Deep Q-Learning Techniques.it.srt 13KB
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  192. 09 Appendix FAQ/065 How to Code by Yourself (part 2).en.srt 13KB
  193. 06 Deep Q-Learning/041 Deep Q-Learning Techniques.pt.srt 13KB
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  196. 06 Deep Q-Learning/041 Deep Q-Learning Techniques.pl.srt 13KB
  197. 06 Deep Q-Learning/041 Deep Q-Learning Techniques.en.srt 12KB
  198. 05 Policy Gradients/036 Mountain Car Continuous Tensorflow.es.srt 11KB
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  203. 02 Background Review/006 Review of Markov Decision Processes.ro.srt 11KB
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  205. 05 Policy Gradients/036 Mountain Car Continuous Tensorflow.pl.srt 11KB
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  217. 04 TD Lambda/027 TD Lambda.ro.srt 10KB
  218. 02 Background Review/011 Review of Deep Learning.ro.srt 10KB
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  220. 02 Background Review/006 Review of Markov Decision Processes.en.srt 10KB
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  222. 02 Background Review/011 Review of Deep Learning.es.srt 10KB
  223. 04 TD Lambda/027 TD Lambda.it.srt 10KB
  224. 07 A3C/053 A3C - Code pt 3.ro.srt 10KB
  225. 02 Background Review/011 Review of Deep Learning.it.srt 10KB
  226. 04 TD Lambda/027 TD Lambda.pt.srt 10KB
  227. 05 Policy Gradients/035 Mountain Car Continuous Theano.en.srt 10KB
  228. 02 Background Review/011 Review of Deep Learning.pl.srt 10KB
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  231. 04 TD Lambda/027 TD Lambda.pl.srt 10KB
  232. 07 A3C/053 A3C - Code pt 3.it.srt 10KB
  233. 05 Policy Gradients/031 Policy Gradient in TensorFlow for CartPole.ro.srt 10KB
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  243. 05 Policy Gradients/031 Policy Gradient in TensorFlow for CartPole.id.srt 9KB
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  267. 06 Deep Q-Learning/045 Pseudocode and Replay Memory.it.srt 8KB
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  269. 09 Appendix FAQ/073 BONUS Where to get Udemy coupons and FREE deep learning material.es.srt 8KB
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  281. 07 A3C/051 A3C - Code pt 1 (Warmup).pl.srt 8KB
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  288. 06 Deep Q-Learning/044 Additional Implementation Details for Atari.ro.srt 8KB
  289. 05 Policy Gradients/037 Mountain Car Continuous Tensorflow (v2).es.srt 8KB
  290. 09 Appendix FAQ/073 BONUS Where to get Udemy coupons and FREE deep learning material.en.srt 8KB
  291. 06 Deep Q-Learning/045 Pseudocode and Replay Memory.en.srt 8KB
  292. 06 Deep Q-Learning/044 Additional Implementation Details for Atari.it.srt 8KB
  293. 07 A3C/051 A3C - Code pt 1 (Warmup).en.srt 8KB
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  295. 08 Theano and Tensorflow Basics Review/057 (Review) Theano Basics.ro.srt 8KB
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