Deep Learning by CloudxLab -移花宫-武林禁地，闲人禁止入内

Deep Learning by CloudxLab

磁力链接/BT种子名称

Deep Learning by CloudxLab

磁力链接/BT种子简介

种子哈希：918c635f5aa52f1423491d1ddd9d1848441476d0
文件大小： 9.53G
已经下载：69次
下载速度：极快
收录时间：2021-04-15
最近下载：2025-11-02

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文件列表

41. Introduction to Modern NLP U-bNFXLEnXgqo.mp4 698.6 MB
35. Forecasting a Time Series-MFrK6S1jf88.mp4 603.5 MB
53. Introduction to GANs U-8JFB2OSiq6g.mp4 543.0 MB
57. Introduction to OpenAI Gym U-YjWy062osvU.mp4 434.9 MB
52. Overcomplete autoencoders U-LBYu0ZcezUc.mp4 423.6 MB
19. Faster Optimizers Part 2 (U)-Mn1Gdj4qMMM.mp4 419.6 MB
40. Finding Related Posts using scikit learn U-fpNWeBuQNqI.mp4 371.0 MB
22. Custom Models and Training Part II (U)-aL0dTQwBRo4.mp4 331.3 MB
36. Forecasting Several Time Steps Ahead-eR-5PfZJS-Q.mp4 300.1 MB
21. Custom Models and Training Part I (U)-9WwFay2mxuA.mp4 272.1 MB
33. YOLO (U)-1ex5mluLBAQ.mp4 264.9 MB
43. Sentiment Analysis U-vOAez42BEzg.mp4 237.6 MB
34. Introduction to RNN-Fkgjue48aLc.mp4 233.6 MB
6. Building an Image Classifier with Keras Part I(U)-OG4p0-kmjC4.mp4 226.5 MB
4. Multi Layer Perceptrons and Backpropagation Part II(U)-3W_hq-QfDbc.mp4 223.7 MB
46. Attention Mechanisms U-_PCZ7nR15sI.mp4 213.4 MB
37. Handling Long Sequences-XMSZI9VDanc.mp4 212.6 MB
3. Multi Layer Perceptrons and Backpropagation Part I U-jkssOTH2sIU.mp4 194.3 MB
24. Loading and Preprocessing of Data Part II U-yXIZsFiw2Ik.mp4 188.2 MB
25. Introduction to CNNs and Filters U-zCFuN8p9ejI.mp4 184.0 MB
42. Introduction to Modern NLP Part 2 U-9YLBPDYx7-s.mp4 179.8 MB
9. Building Complex Models (U)-E8tsG-u6W9E.mp4 146.2 MB
59. Credit Assignment Problem Part 2 (U)-9mxTrmFi55k.mp4 143.6 MB
10. Saving and Restoring Models(U)-OzZj_Gk7RrE.mp4 143.6 MB
14. Activation Functions (U)-5FAY-EZIhpo.mp4 143.5 MB
32. Object Detection (U)-r1TT8OMkn3I.mp4 140.0 MB
15. Batch Normalization (U)--1Sh8D6Ko08.mp4 136.1 MB
7. Building an Image Classifier with Keras Part II (U)-RPxZCaZvYG4.mp4 130.7 MB
58. Credit Assignment Problem (U)-GpAy2Dfe1Fg.mp4 122.7 MB
18. Faster Optimiszers (U)-7M8N_SnIURg.mp4 121.6 MB
23. Loading and Preprocessing of Data Part I (U)-oiFib8HA5M0.mp4 114.8 MB
12. Fine tuning Neural Networks Hyperparameters (U)-UTZj6U3OQGo.mp4 111.6 MB
55. Modern GAN architectures U-aDTuiXZer_I.mp4 109.4 MB
49. Stacked autoencoders U-mNLCsc54RM8.mp4 105.8 MB
50. Stacked autoencoders Part 2 U-D2-dMF21yFU.mp4 102.6 MB
48. Pca using auto encoders U-iQk89MBrLRk.mp4 100.7 MB
47. Introduction to Autoencoders U-l8XtDwjnK6k.mp4 92.3 MB
17. Reusing Pretrained Layers (U)-9WBLIxbhemk.mp4 87.2 MB
26. Filters Deep Dive (U)-shMy45xCuwY.mp4 86.4 MB
61. Value Iteration Algorithm, Q Value (U)-GdyFpkTmnOA.mp4 79.6 MB
31. Transfer Learning with Keras (U)-D6no9p6X6iI.mp4 74.8 MB
56. Introduction to Reinforcement Learning UU-7fwkTz5LE-M.mp4 74.6 MB
29. CNN Architectures (U)-AriAjCpldTw.mp4 74.3 MB
11. TensorBoard(U)-kg6GvfKmETY.mp4 72.4 MB
39. Creating a Quiz using Text Blob-gL40xBh03w0.mp4 71.7 MB
63. Q-Learning (U)-90iuJQsITVU.mp4 67.4 MB
5.1 Classification with Multi Layer PerceptronU-J5QTwqJDzto.mp4 66.9 MB
5. Classification with Multi Layer Perceptron (U)-v9jpUqdqZaQ.mp4 63.9 MB
51. Other types of autoencoders U-Cq9xdClnj8Q.mp4 62.7 MB
60.Markov Decision Process (U)-k2Z3YA3A8mE.mp4 62.6 MB
28. Building CNNs U-LcgYwxA8-qk.mp4 60.4 MB
8. Regression MLP (U)-Zc36PV6tDcg.mp4 55.3 MB
44. Machine Translation U-34KPM5Z_AmY.mp4 54.8 MB
13. Deep Neural Networks(U)-nEz_8fgWCwM.mp4 52.9 MB
27. Pooling Layers U-QydLMGrsFo4.mp4 47.7 MB
45. Bi directional RNN and Beam Search (U)-rZdWZiyonoQ.mp4 45.1 MB
38. Introduction to Classical NLP-YNeLw38JejA.mp4 39.6 MB
1.Introduction to Artificial Neural NetworksU-HlIRkDRnk8Y.mp4 38.9 MB
30. Classification with Keras (U)-Z2JXc6BTxAc.mp4 37.1 MB
20. Regularization (U)-fy4hsUIT6-M.mp4 33.9 MB
54. Difficulty with training GANs U-qyZP1nWEfHY.mp4 32.2 MB
64. TF-Agents Library (U)-Mn6XXkGgaLs.mp4 20.6 MB
16. Gradient Clipping U-M9AduWr1lGg.mp4 19.5 MB
62. Temporal Difference Learning (U)-ygQkNJ6xZBw.mp4 16.8 MB
2. Perceptrons(U)-btFREQHx4B8.mp4 13.7 MB