589689.xyz

[] Udemy - Zero to Deep Learning™ with Python and Keras

  • 收录时间:2019-06-19 08:41:06
  • 文件大小:1GB
  • 下载次数:55
  • 最近下载:2021-01-08 11:04:07
  • 磁力链接:

文件列表

  1. 01-welcome-to-the-course/004-installation-video-guide.mp4 45MB
  2. 03-machine-learning/045-exercise-2-solution.mp4 43MB
  3. 03-machine-learning/031-linear-regression-code-along.mp4 40MB
  4. 03-machine-learning/043-exercise-1-solution.mp4 37MB
  5. 04-deep-learning-intro/051-multiclass-classification-code-along.mp4 34MB
  6. 05-gradient-descent/070-learning-rate-code-along.mp4 33MB
  7. 01-welcome-to-the-course/007-your-first-deep-learning-model.mp4 33MB
  8. 02-data/011-plotting-with-matplotlib.mp4 33MB
  9. 05-gradient-descent/077-inner-layers-visualization-code-along.mp4 32MB
  10. 02-data/009-data-exploration-with-pandas-code-along.mp4 31MB
  11. 09-improving-performance/131-movies-reviews-sentiment-analysis-code-along.mp4 27MB
  12. 04-deep-learning-intro/057-exercise-2-solution.mp4 25MB
  13. 04-deep-learning-intro/055-exercise-1-solution.mp4 25MB
  14. 01-welcome-to-the-course/002-real-world-applications-of-deep-learning.mp4 24MB
  15. 03-machine-learning/035-classification-code-along.mp4 23MB
  16. 08-recurrent-neural-networks/116-rolling-windows-code-along.mp4 21MB
  17. 04-deep-learning-intro/049-neural-networks-code-along.mp4 21MB
  18. 04-deep-learning-intro/059-exercise-3-solution.mp4 21MB
  19. 06-convolutional-neural-networks/089-mnist-classification-code-along.mp4 20MB
  20. 05-gradient-descent/068-numpy-arrays-code-along.mp4 19MB
  21. 01-welcome-to-the-course/006-course-folder-walkthrough.mp4 19MB
  22. 09-improving-performance/120-learning-curves-code-along.mp4 19MB
  23. 03-machine-learning/029-cost-function-code-along.mp4 18MB
  24. 05-gradient-descent/079-exercise-1-solution.mp4 18MB
  25. 06-convolutional-neural-networks/092-tensor-math-code-along.mp4 17MB
  26. 08-recurrent-neural-networks/113-time-series-forecasting-code-along.mp4 16MB
  27. 03-machine-learning/041-feature-preprocessing-code-along.mp4 16MB
  28. 09-improving-performance/127-image-generator-code-along.mp4 15MB
  29. 09-improving-performance/122-batch-normalization-code-along.mp4 15MB
  30. 06-convolutional-neural-networks/098-convolutional-layers-code-along.mp4 14MB
  31. 03-machine-learning/034-classification.mp4 14MB
  32. 02-data/013-images-and-sound-in-jupyter.mp4 14MB
  33. 06-convolutional-neural-networks/102-convolutional-neural-networks-code-along.mp4 14MB
  34. 04-deep-learning-intro/061-exercise-4-solution.mp4 14MB
  35. 02-data/018-exercise-2-solution.mp4 14MB
  36. 05-gradient-descent/076-initialization-code-along.mp4 13MB
  37. 05-gradient-descent/072-gradient-descent-code-along.mp4 13MB
  38. 06-convolutional-neural-networks/105-exercise-1-solution.mp4 13MB
  39. 05-gradient-descent/083-exercise-3-solution.mp4 13MB
  40. 05-gradient-descent/066-fully-connected-backpropagation.mp4 12MB
  41. 05-gradient-descent/064-chain-rule.mp4 12MB
  42. 03-machine-learning/037-cross-validation.mp4 12MB
  43. 06-convolutional-neural-networks/097-convolutional-layers.mp4 12MB
  44. 02-data/008-tabular-data.mp4 12MB
  45. 08-recurrent-neural-networks/112-lstm-and-gru.mp4 11MB
  46. 02-data/012-unstructured-data.mp4 11MB
  47. 03-machine-learning/039-confusion-matrix.mp4 11MB
  48. 05-gradient-descent/085-exercise-4-solution.mp4 11MB
  49. 05-gradient-descent/081-exercise-2-solution.mp4 11MB
  50. 06-convolutional-neural-networks/106-exercise-2-solution.mp4 11MB
  51. 05-gradient-descent/075-optimizers-code-along.mp4 11MB
  52. 05-gradient-descent/062-derivatives-and-gradient.mp4 10MB
  53. 08-recurrent-neural-networks/108-time-series.mp4 10MB
  54. 03-machine-learning/026-supervised-learning.mp4 10MB
  55. 06-convolutional-neural-networks/091-images-as-tensors.mp4 10MB
  56. 03-machine-learning/033-evaluating-performance-code-along.mp4 10MB
  57. 04-deep-learning-intro/050-multiple-outputs.mp4 10MB
  58. 04-deep-learning-intro/046-deep-learning-successes.mp4 10MB
  59. 04-deep-learning-intro/053-feed-forward.mp4 10MB
  60. 01-welcome-to-the-course/003-download-and-install-anaconda.mp4 10MB
  61. 04-deep-learning-intro/047-neural-networks.mp4 10MB
  62. 03-machine-learning/027-linear-regression.mp4 10MB
  63. 03-machine-learning/038-cross-validation-code-along.mp4 10MB
  64. 08-recurrent-neural-networks/114-time-series-forecasting-with-lstm-code-along.mp4 9MB
  65. 02-data/016-exercise-1-solution.mp4 9MB
  66. 03-machine-learning/036-overfitting.mp4 9MB
  67. 03-machine-learning/025-machine-learning-problems.mp4 9MB
  68. 05-gradient-descent/074-optimizers.mp4 9MB
  69. 02-data/010-visual-data-exploration.mp4 9MB
  70. 03-machine-learning/032-evaluating-performance.mp4 9MB
  71. 08-recurrent-neural-networks/109-sequence-problems.mp4 9MB
  72. 03-machine-learning/040-confusion-matrix-code-along.mp4 9MB
  73. 05-gradient-descent/067-matrix-notation.mp4 9MB
  74. 04-deep-learning-intro/052-activation-functions.mp4 9MB
  75. 04-deep-learning-intro/048-deeper-networks.mp4 8MB
  76. 05-gradient-descent/086-tensorboard.mp4 8MB
  77. 06-convolutional-neural-networks/087-features-from-pixels.mp4 8MB
  78. 08-recurrent-neural-networks/117-exercise-1-solution.mp4 8MB
  79. 02-data/024-exercise-5-solution.mp4 8MB
  80. 03-machine-learning/044-exercise-2-presentation.mp4 7MB
  81. 05-gradient-descent/073-ewma.mp4 7MB
  82. 06-convolutional-neural-networks/090-beyond-pixels.mp4 7MB
  83. 05-gradient-descent/063-backpropagation-intuition.mp4 7MB
  84. 05-gradient-descent/065-derivative-calculation.mp4 7MB
  85. 02-data/020-exercise-3-solution.mp4 7MB
  86. 09-improving-performance/128-hyperparameter-search.mp4 7MB
  87. 06-convolutional-neural-networks/095-convolution-in-2-d.mp4 7MB
  88. 06-convolutional-neural-networks/093-convolution-in-1-d.mp4 7MB
  89. 09-improving-performance/129-embeddings.mp4 7MB
  90. 03-machine-learning/042-exercise-1-presentation.mp4 6MB
  91. 05-gradient-descent/071-gradient-descent.mp4 6MB
  92. 06-convolutional-neural-networks/096-image-filters-code-along.mp4 6MB
  93. 09-improving-performance/124-dropout-and-regularization-code-along.mp4 6MB
  94. 09-improving-performance/125-data-augmentation.mp4 6MB
  95. 03-machine-learning/028-cost-function.mp4 6MB
  96. 09-improving-performance/123-dropout.mp4 6MB
  97. 02-data/014-feature-engineering.mp4 6MB
  98. 09-improving-performance/130-embeddings-code-along.mp4 6MB
  99. 08-recurrent-neural-networks/111-vanilla-rnn.mp4 6MB
  100. 09-improving-performance/119-learning-curves.mp4 5MB
  101. 06-convolutional-neural-networks/100-pooling-layers-code-along.mp4 5MB
  102. 06-convolutional-neural-networks/104-beyond-images.mp4 5MB
  103. 06-convolutional-neural-networks/103-weights-in-cnns.mp4 5MB
  104. 06-convolutional-neural-networks/094-convolution-in-1-d-code-along.mp4 5MB
  105. 03-machine-learning/030-finding-the-best-model.mp4 5MB
  106. 08-recurrent-neural-networks/115-rolling-windows.mp4 5MB
  107. 09-improving-performance/126-continuous-learning.mp4 5MB
  108. 04-deep-learning-intro/054-exercise-1-presentation.mp4 5MB
  109. 06-convolutional-neural-networks/101-convolutional-neural-networks.mp4 4MB
  110. 02-data/022-exercise-4-solution.mp4 4MB
  111. 06-convolutional-neural-networks/088-mnist-classification.mp4 4MB
  112. 09-improving-performance/121-batch-normalization.mp4 4MB
  113. 05-gradient-descent/084-exercise-4-presentation.mp4 4MB
  114. 05-gradient-descent/069-learning-rate.mp4 4MB
  115. 05-gradient-descent/078-exercise-1-presentation.mp4 4MB
  116. 02-data/015-exercise-1-presentation.mp4 3MB
  117. 06-convolutional-neural-networks/099-pooling-layers.mp4 3MB
  118. 04-deep-learning-intro/056-exercise-2-presentation.mp4 3MB
  119. 05-gradient-descent/082-exercise-3-presentation.mp4 3MB
  120. 04-deep-learning-intro/058-exercise-3-presentation.mp4 3MB
  121. 05-gradient-descent/080-exercise-2-presentation.mp4 2MB
  122. 02-data/023-exercise-5-presentation.mp4 2MB
  123. 04-deep-learning-intro/060-exercise-4-presentation.mp4 2MB
  124. 02-data/017-exercise-2-presentation.mp4 2MB
  125. 02-data/019-exercise-3-presentation.mp4 2MB
  126. 02-data/021-exercise-4-presentation.mp4 2MB
  127. 07-cloud-gpus/107-floyd-gpu-notebook-setup.html 3KB
  128. 01-welcome-to-the-course/005-obtain-the-code-for-the-course.html 1KB
  129. 01-welcome-to-the-course/001-introduction.html 1KB
  130. 08-recurrent-neural-networks/110-vanishing-gradients.html 331B
  131. 08-recurrent-neural-networks/118-exercise-2-solution.html 331B
  132. 09-improving-performance/132-exercise-1-solution.html 331B
  133. 09-improving-performance/133-exercise-2-solution.html 331B
  134. [FCS Forum].url 133B
  135. [FreeCourseSite.com].url 127B
  136. [CourseClub.NET].url 123B