首页 磁力链接怎么用

[FreeCoursesOnline.Me] [UDACITY] PyTorch Scholarship Challenge - [FCO]

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2019-12-1 03:03 2024-6-29 00:00 129 1.06 GB 166
磁力链接
magnet:?xt=urn:btih:1587db75e7db855b82a7586df9445c932385b4d4
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjE1ODdkYjc1ZTdkYjg1NWI4MmE3NTg2ZGY5NDQ1YzkzMjM4NWI0ZDRaWg==
二维码链接
[FreeCoursesOnline.Me] [UDACITY] PyTorch Scholarship Challenge - [FCO]的二维码
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
3条线路均为国内外知名下载网站种子链接，内容跟本站无关！
相关链接

FreeCoursesOnline Me UDACITY PyTorch Scholarship Challenge - FCO

文件列表
  1. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/01. Introduction-tn-CrUTkCUc.mp47.54MB
  2. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/02. Classsification Example-Dh625piH7Z0.mp42.07MB
  3. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/03. Classification Example-46PywnGa_cQ.mp41.62MB
  4. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/04. Linear Boundaries-X-uMlsBi07k.mp43.85MB
  5. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/05. 09 Higher Dimensions-eBHunImDmWw.mp42.59MB
  6. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp45.13MB
  7. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/07. Why Neural Networks-zAkzOZntK6Y.mp4982.27KB
  8. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/08. AND And OR Perceptrons-45K5N0P9wJk.mp42.68MB
  9. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/08. XOR Perceptron-TF83GfjYLdw.mp4947KB
  10. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp43.66MB
  11. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4260.01KB
  12. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.mp41.92MB
  13. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp42.87MB
  14. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/11. Non-Linear Regions-B8UrWnHh1Wc.mp41.33MB
  15. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/12. Error Functions-YfUUunxWIJw.mp43.54MB
  16. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/13. Error Functions-jfKShxGAbok.mp47.21MB
  17. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/14. Discrete vs Continuous-rdP-RPDFkl0.mp42.26MB
  18. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/14. Discrete vs. Continuous-Rm2KxFaPiJg.mp45.35MB
  19. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.mp44.01MB
  20. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.mp41.95MB
  21. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. Quiz - Softmax-NNoezNnAMTY.mp41.73MB
  22. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.mp41.65MB
  23. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/17. Maximum Likelihood 1-1yJx-QtlvNI.mp45.75MB
  24. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/17. Maximum Likelihood 2-6nUUeQ9AeUA.mp43.85MB
  25. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/18. Quiz - Cross 1--xxrisIvD0E.mp43.02MB
  26. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.mp41.86MB
  27. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.mp44.22MB
  28. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/20. CrossEntropy V1-1BnhC6e0TFw.mp46.61MB
  29. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/20. Formula For Cross 1-qvr_ego_d6w.mp42.08MB
  30. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp44.14MB
  31. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp41.49MB
  32. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/22. Error Function-V5kkHldUlVU.mp44.84MB
  33. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/23. Gradient Descent-rhVIF-nigrY.mp43.76MB
  34. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/24. Gradient Descent Algorithm-snxmBgi_GeU.mp41.98MB
  35. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/27. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp43.2MB
  36. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/28. Continuous Perceptrons-07-JJ-aGEfM.mp41.13MB
  37. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/29. Non-Linear Data-F7ZiE8PQiSc.mp42.14MB
  38. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/30. Non-Linear Models-HWuBKCZsCo8.mp41.13MB
  39. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp42.83MB
  40. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Combinando modelos-Boy3zHVrWB4.mp44.73MB
  41. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Layers-pg99FkXYK0M.mp43.11MB
  42. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Multiclass Classification-uNTtvxwfox0.mp41.88MB
  43. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/32. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp45.33MB
  44. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/32. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp41.72MB
  45. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Backpropagation V2-1SmY3TZTyUk.mp46.52MB
  46. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Calculating The Gradient 1 -tVuZDbUrzzI.mp43.31MB
  47. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Chain Rule-YAhIBOnbt54.mp41.46MB
  48. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp45.69MB
  49. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/36. Training Optimization-UiGKhx9pUYc.mp42.96MB
  50. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/37. Testing-EeBZpb-PSac.mp42MB
  51. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/38. Underfitting And Overfitting-xj4PlXMsN-Y.mp46.42MB
  52. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/39. Model Complexity Graph-NnS0FJyVcDQ.mp44.9MB
  53. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/40. DL 53 Q Regularization-KxROxcRsHL8.mp41.01MB
  54. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/41. Regularization-ndYnUrx8xvs.mp47.57MB
  55. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/42. Dropout-Ty6K6YiGdBs.mp44.22MB
  56. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/43. Local Minima-gF_sW_nY-xw.mp4819.86KB
  57. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/44. Random Restart-idyBBCzXiqg.mp4394.99KB
  58. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/45. Vanishing Gradient-W_JJm_5syFw.mp41.32MB
  59. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/46. Other Activation Functions-kA-1vUt6cvQ.mp42.3MB
  60. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/47. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp43.95MB
  61. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/48. Learning Rate-TwJ8aSZoh2U.mp4927.05KB
  62. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/49. Momentum-r-rYz_PEWC8.mp42.14MB
  63. Part 01-Module 01-Lesson 02_Introduction to Neural Networks/50. Error Functions Around the World-34AAcTECu2A.mp41.73MB
  64. Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/01. Origins Of PyTorch V2-0eLXNFv6aT8.mp430.04MB
  65. Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/02. Debugging And Designing PyTorch-Nn8140ECzPU.mp411.71MB
  66. Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/03. From Research To Production-eCysOAw8azs.mp420.81MB
  67. Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/04. Hybrid Frontend And JIT Compiler-J4z-P8yUZu4.mp422.89MB
  68. Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/05. Cutting-Edge Applicationns In PyTorch-s8p6vqOubqw.mp415.87MB
  69. Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/06. User Needs And Adding Features-7HH65_c7Acw.mp415.78MB
  70. Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/07. PyTorch And The Facebook Product-TjVveb0iVrA.mp47.55MB
  71. Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/08. The Future Of PyTorch-vfCg3FoOjE4.mp414.51MB
  72. Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/09. Learning Ai-NMItGw0GFGM.mp49.99MB
  73. Part 01-Module 01-Lesson 04_Introduction to PyTorch/02. PyTorch V2 Part 1 V1-6Z7WntXays8.mp412.32MB
  74. Part 01-Module 01-Lesson 04_Introduction to PyTorch/03. PyTorch V2 Part 1 Solution V1-mNJ8CujTtpo.mp415.66MB
  75. Part 01-Module 01-Lesson 04_Introduction to PyTorch/04. PyTorch V2 Part 1 Solution 2 V1-QLaGMz8Ca3E.mp46.57MB
  76. Part 01-Module 01-Lesson 04_Introduction to PyTorch/05. PyTorch V2 Part 1 Solution 3 V1-iMIo9p5iSbE.mp45.9MB
  77. Part 01-Module 01-Lesson 04_Introduction to PyTorch/06. PyTorch V2 Part 2 V1-CSQOdOb2mlg.mp410.84MB
  78. Part 01-Module 01-Lesson 04_Introduction to PyTorch/07. PyTorch V2 Part 2 Solution V1-zym36ihtOMY.mp48.74MB
  79. Part 01-Module 01-Lesson 04_Introduction to PyTorch/08. PyTorch V2 Part 2 Solution 2 V1-8KRX7HvqfP0.mp416.7MB
  80. Part 01-Module 01-Lesson 04_Introduction to PyTorch/09. PyTorch V2 Part 3 V1-9ILiZwbi9dA.mp418.8MB
  81. Part 01-Module 01-Lesson 04_Introduction to PyTorch/10. PyTorch V2 Part 3 Solution V2-zBWlOeX2sQM.mp421.27MB
  82. Part 01-Module 01-Lesson 04_Introduction to PyTorch/11. PyTorch V2 Part 3 Solution 2 V1-ExyFG2MjsKs.mp43.56MB
  83. Part 01-Module 01-Lesson 04_Introduction to PyTorch/12. PyTorch - Part 4-AEJV_RKZ7VU.mp43.32MB
  84. Part 01-Module 01-Lesson 04_Introduction to PyTorch/13. PyTorch V2 Part 4 Solution V1-R6Y4hPLVQWM.mp48.24MB
  85. Part 01-Module 01-Lesson 04_Introduction to PyTorch/14. PyTorch V2 Part 5 V1 (1)-XACXlkIdS7Y.mp413.9MB
  86. Part 01-Module 01-Lesson 04_Introduction to PyTorch/15. PyTorch V2 Part 5 Solution V1-AjrXltxqsK4.mp415.84MB
  87. Part 01-Module 01-Lesson 04_Introduction to PyTorch/16. PyTorch V2 Part 5 Solution 2 V1-3Py2SbtZLbc.mp42.78MB
  88. Part 01-Module 01-Lesson 04_Introduction to PyTorch/17. PyTorch - Part 6-3ZJfo2bR-uw.mp415.82MB
  89. Part 01-Module 01-Lesson 04_Introduction to PyTorch/18. PyTorch - Part 7-hFu7GTfRWks.mp415.15MB
  90. Part 01-Module 01-Lesson 04_Introduction to PyTorch/19. PyTorch V2 Part 7 Solution V1-d_NhvI1yEf0.mp46.8MB
  91. Part 01-Module 01-Lesson 04_Introduction to PyTorch/20. PyTorch - Part 8-S9F7MtJ5jls.mp429.51MB
  92. Part 01-Module 01-Lesson 04_Introduction to PyTorch/21. PyTorch V2 Part 8 Solution V1-4n6T93hKRD4.mp418.5MB
  93. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.mp42.05MB
  94. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/02. Applications of CNNs-HrYNL_1SV2Y.mp417.7MB
  95. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/03. ConNet 01 LessonOutline V1 V1-77LzWE1qQrc.mp42.34MB
  96. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/04. ConNet 021 MNISTClassification V1 V2-a7bvIGZpcnk.mp42.4MB
  97. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/05. ConNet 022 How Computers Interpret Images V1-mEPfoM68Fx4.mp44.44MB
  98. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/06. ConNet 03 MLPStructure&ClassScore V1 V1-fP0Odiai8sk.mp42.87MB
  99. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/07. 04 Do Your Research V1-CR4JeAn1fgk.mp44.02MB
  100. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/08. ConNet 05 Loss&Optimization V1 V3-BmPDtSXv18w.mp46.55MB
  101. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/09. 06 Defining A Network V1-9gvaQvyfLfY.mp49.78MB
  102. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/10. 07 Training The Network V1-904bfqibcCw.mp410.52MB
  103. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/13. 09 One Solution V2-7q37WPjQhDA.mp411.59MB
  104. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/14. ConNet10 ModelValidation V1 V2-b5934VsV3SA.mp43.34MB
  105. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/15. 11 Validation Loss V2-uGPP_-pbBsc.mp414.23MB
  106. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/16. ConNet 13 ImageClassification V1 V2-UHFBnitKraA.mp42.4MB
  107. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/17. ConNet 14 MLPvsCNN V1 V2-Q7CR3cCOtJQ.mp44.24MB
  108. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/18. Local Connectivity-z9wiDg0w-Dc.mp413.09MB
  109. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/19. 15 Filters And Convo RENDER V2-x_dhnhUzFNo.mp42.95MB
  110. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/20. ConNet 16 FIlters & Edges V2-hfqNqcEU6uI.mp43.5MB
  111. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/22. High-pass Filters-OpcFn_H2V-Q.mp48.25MB
  112. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/27. Convolutional Layers-RnM1D-XI--8.mp419.81MB
  113. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/28. 17 Stride And Padding RENDER V1-GmStpNi8jBI.mp46.09MB
  114. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/29. 24 CNNs PyTorch V2-GNxzWfiz3do.mp412.6MB
  115. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/30. 18 Pooling RENDER V1-_Ok5xZwOtrk.mp42.98MB
  116. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/32. ConNet 20 Increasing Depth V2 RENDERv1 1 V2-YKif1KNpWeE.mp44.9MB
  117. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/33. 21 CNNs For Image Classification RENDER V2-smaw5GqRaoY.mp45.75MB
  118. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/35. ConNet 22 Feature Vector RENDER 1 V2-g6QuiVno8zI.mp45.37MB
  119. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/36. 23 Cifar Class V1-FF_EmZ2sf2w.mp412.83MB
  120. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/39. Image Augmentation In Keras-zQnx2jZmjTA.mp44.93MB
  121. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/40. 26 Augmentation V1-J_gjHVt9pVw.mp47.62MB
  122. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/41. Groundbreaking CNN Architectures-GdYOqihgb2k.mp47.32MB
  123. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/42. Visualizing CNNs-mnqS_EhEZVg.mp49.2MB
  124. Part 01-Module 01-Lesson 05_Convolutional Neural Networks/44. ConNet 27 Summary Of CNNs V2 RENDER V3-Te9QCvhx6N8.mp43.66MB
  125. Part 01-Module 01-Lesson 06_Style Transfer/01. 01 StyleTransfer V3-_urN9BQ7RHM.mp42.72MB
  126. Part 01-Module 01-Lesson 06_Style Transfer/02. 02 SeparatingStyleandContent V2-PNFFAhymuHc.mp49.19MB
  127. Part 01-Module 01-Lesson 06_Style Transfer/03. 03 ContentRepandStyleTransfer V3-PQ1UuzOIjCM.mp47.86MB
  128. Part 01-Module 01-Lesson 06_Style Transfer/04. 41 GramMatrixStyleTransfer V3-e718uVAW3KU.mp47.76MB
  129. Part 01-Module 01-Lesson 06_Style Transfer/05. 42 StyleLossStyleTransfer V2-VazrQ7u-OHo.mp41.65MB
  130. Part 01-Module 01-Lesson 06_Style Transfer/06. 05 LossWeightsStyleTransfer V2-qO8oiZBtG1I.mp44.8MB
  131. Part 01-Module 01-Lesson 06_Style Transfer/07. 6 VGG Features V1-Q5N2NEv7ADc.mp411.15MB
  132. Part 01-Module 01-Lesson 06_Style Transfer/09. 7 Feats Gram Matrix V1-f89x9oAh6X0.mp45.64MB
  133. Part 01-Module 01-Lesson 06_Style Transfer/10. 8 Gram Matrix Sol V1-uncCKMI5Yns.mp44.82MB
  134. Part 01-Module 01-Lesson 06_Style Transfer/11. 9 Defining Loss V1-lix8d3B2QcE.mp47.2MB
  135. Part 01-Module 01-Lesson 06_Style Transfer/12. 10 Loss Solution V1-DzaQm9awcwY.mp47.15MB
  136. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/02. RNN Vs LSTM-70MgF-IwAr8.mp43.58MB
  137. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/03. LSTM Basics-gjb68a4XsqE.mp44.03MB
  138. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/04. LSTM Architecture-ycwthhdx8ws.mp41.07MB
  139. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/05. Learn Gate-aVHVI7ovbHY.mp42.22MB
  140. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/06. Forget Gate-iWxpfxLUPSU.mp41.04MB
  141. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/07. Remember Gate-0qlm86HaXuU.mp4676.91KB
  142. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/08. LSTM 7 Use Gate-5Ifolm1jTdY.mp41.5MB
  143. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/09. Putting It All Together-IF8FlKW-Zo0.mp41.58MB
  144. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/10. Other Architectures-MsxFDuYlTuQ.mp41.71MB
  145. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/12. 02 Time Series Prediction V2-xV5jHLFfJbQ.mp415.43MB
  146. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/13. 03 Training Memory V1-sx7T_KP5v9I.mp49.57MB
  147. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/14. Character-Wise RNN-dXl3eWCGLdU.mp42.88MB
  148. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/15. Sequence-Batching-Z4OiyU0Cldg.mp42.29MB
  149. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/17. 04 Implementing CharRNN V2-MMtgZXzFB10.mp416.39MB
  150. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/18. 05 Batching Data V1-9Eg0wf3eW-k.mp45.82MB
  151. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/19. 06 Defining Model V2-_LWzyqq4hCY.mp49.05MB
  152. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/20. 07 CharRNN Solution V1-ed33qePHrJM.mp418.32MB
  153. Part 01-Module 01-Lesson 07_Recurrent Neural Networks/21. 08 Making Predictions V3-BhrpV3kwATo.mp412.38MB
  154. Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/01. 1 SentimentRNN Intro V1-bQWUuaMc9ZI.mp42.2MB
  155. Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/04. 3 Data PreProcessing V1-Xw1MWmql7no.mp410.09MB
  156. Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/05. 4 EncodingWords Sol V1-4RYyn3zv1Hg.mp46.45MB
  157. Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/06. 5 GettingRid ZeroLength V1-Hs6ithuvDJg.mp44.59MB
  158. Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/07. 6 Cleaning And Padding V1-UgPo1_cq-0g.mp46.36MB
  159. Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/08. 7 PaddedFeatures Sol V1-sYOd1IDmep8.mp45.48MB
  160. Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/09. 8 TensorDataset Batching V1-Oxuf2QIPjj4.mp49.01MB
  161. Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/10. 9 DefiningModel V1-SpvIZl1YQRI.mp45.63MB
  162. Part 01-Module 01-Lesson 09_Deploying PyTorch Models/02. PyTorch 10 Install V1-kIwKPxgReFY.mp41.77MB
  163. Part 01-Module 01-Lesson 09_Deploying PyTorch Models/03. PyTorch For Production V1-DBSoZWd4lQo.mp46.67MB
  164. Part 01-Module 01-Lesson 09_Deploying PyTorch Models/04. PyTorch Script Tracing V1-lYmQDUprQa0.mp48.37MB
  165. Part 01-Module 01-Lesson 09_Deploying PyTorch Models/05. PyTorch Script Annotation V2-pO1RM7mKaFg.mp47.25MB
  166. Part 01-Module 01-Lesson 09_Deploying PyTorch Models/06. PyTorch C API V2-P1S1dN1gHmw.mp411.42MB
友情提示
不会用的朋友看这里 把磁力链接复制到离线下载，或者bt下载软件里即可下载文件，或者直接复制迅雷链接到迅雷里下载！ 亲，你造吗？将网页分享给您的基友，下载的人越多速度越快哦！

违规内容投诉邮箱：[email protected]

概述 838888磁力搜索是一个磁力链接搜索引擎，是学术研究的副产品，用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络，实时的自动采集数据，仅存储文件的标题、大小、文件列表、文件标识符（磁力链接）等基础信息 838888磁力搜索不下载任何真实资源，无法判断资源的合法性及真实性，使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源，不提供Tracker服务，不提供种子文件的下载，这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统
838888磁力链接 磁力链接bt种子搜索引擎磁力搜索 DMCA