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Coursera Machine Learning Specialization by DeepLearning AI DevCourseWeb

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Files:
  1. Get Bonus Downloads Here.url 182 bytes
  2. Bonus Resources.txt 386 bytes
  3. 01_welcome.en.srt 5.4 KB
  4. 01_welcome.en.txt 2.8 KB
  5. 01_welcome.mp4 10.6 MB
  6. 02_neurons-and-the-brain.en.srt 18.3 KB
  7. 02_neurons-and-the-brain.en.txt 9.5 KB
  8. 02_neurons-and-the-brain.mp4 26.9 MB
  9. 03_demand-prediction.en.srt 26.6 KB
  10. 03_demand-prediction.en.txt 14.0 KB
  11. 03_demand-prediction.mp4 24.2 MB
  12. 04_example-recognizing-images.en.srt 10.2 KB
  13. 04_example-recognizing-images.en.txt 5.3 KB
  14. 04_example-recognizing-images.mp4 14.6 MB
  15. 01_neural-network-layer.en.srt 13.0 KB
  16. 01_neural-network-layer.en.txt 6.8 KB
  17. 01_neural-network-layer.mp4 20.4 MB
  18. 02_more-complex-neural-networks.en.srt 11.7 KB
  19. 02_more-complex-neural-networks.en.txt 6.1 KB
  20. 02_more-complex-neural-networks.mp4 17.0 MB
  21. 03_inference-making-predictions-forward-propagation.en.srt 7.0 KB
  22. 03_inference-making-predictions-forward-propagation.en.txt 4.3 KB
  23. 03_inference-making-predictions-forward-propagation.mp4 12.6 MB
  24. 01_inference-in-code.en.srt 10.0 KB
  25. 01_inference-in-code.en.txt 5.2 KB
  26. 01_inference-in-code.mp4 16.8 MB
  27. 02_data-in-tensorflow.en.srt 13.2 KB
  28. 02_data-in-tensorflow.en.txt 8.3 KB
  29. 02_data-in-tensorflow.mp4 24.8 MB
  30. 03_building-a-neural-network.en.srt 10.7 KB
  31. 03_building-a-neural-network.en.txt 6.9 KB
  32. 03_building-a-neural-network.mp4 24.4 MB
  33. 01_forward-prop-in-a-single-layer.en.srt 6.1 KB
  34. 01_forward-prop-in-a-single-layer.en.txt 3.8 KB
  35. 01_forward-prop-in-a-single-layer.mp4 12.4 MB
  36. 02_general-implementation-of-forward-propagation.en.srt 11.6 KB
  37. 02_general-implementation-of-forward-propagation.en.txt 6.0 KB
  38. 02_general-implementation-of-forward-propagation.mp4 21.3 MB
  39. 01_is-there-a-path-to-agi.en.srt 16.4 KB
  40. 01_is-there-a-path-to-agi.en.txt 8.6 KB
  41. 01_is-there-a-path-to-agi.mp4 28.1 MB
  42. 01_how-neural-networks-are-implemented-efficiently.en.srt 6.1 KB
  43. 01_how-neural-networks-are-implemented-efficiently.en.txt 3.2 KB
  44. 01_how-neural-networks-are-implemented-efficiently.mp4 12.2 MB
  45. 02_matrix-multiplication.en.srt 12.3 KB
  46. 02_matrix-multiplication.en.txt 6.4 KB
  47. 02_matrix-multiplication.mp4 15.9 MB
  48. 03_matrix-multiplication-rules.en.srt 11.4 KB
  49. 03_matrix-multiplication-rules.en.txt 7.1 KB
  50. 03_matrix-multiplication-rules.mp4 16.1 MB
  51. 04_matrix-multiplication-code.en.srt 8.8 KB
  52. 04_matrix-multiplication-code.en.txt 4.6 KB
  53. 04_matrix-multiplication-code.mp4 13.4 MB
  54. 01_tensorflow-implementation.en.srt 5.9 KB
  55. 01_tensorflow-implementation.en.txt 3.1 KB
  56. 01_tensorflow-implementation.mp4 11.4 MB
  57. 02_training-details.en.srt 20.9 KB
  58. 02_training-details.en.txt 10.9 KB
  59. 02_training-details.mp4 24.1 MB
  60. 01_alternatives-to-the-sigmoid-activation.en.srt 6.8 KB
  61. 01_alternatives-to-the-sigmoid-activation.en.txt 4.3 KB
  62. 01_alternatives-to-the-sigmoid-activation.mp4 12.0 MB
  63. 02_choosing-activation-functions.en.srt 13.8 KB
  64. 02_choosing-activation-functions.en.txt 7.2 KB
  65. 02_choosing-activation-functions.mp4 23.4 MB
  66. 03_why-do-we-need-activation-functions.en.srt 7.6 KB
  67. 03_why-do-we-need-activation-functions.en.txt 4.0 KB
  68. 03_why-do-we-need-activation-functions.mp4 12.9 MB
  69. 01_multiclass.en.srt 4.3 KB
  70. 01_multiclass.en.txt 2.8 KB
  71. 01_multiclass.mp4 8.4 MB
  72. 02_softmax.en.srt 15.4 KB
  73. 02_softmax.en.txt 7.9 KB
  74. 02_softmax.mp4 20.7 MB
  75. 03_neural-network-with-softmax-output.en.srt 9.1 KB
  76. 03_neural-network-with-softmax-output.en.txt 5.8 KB
  77. 03_neural-network-with-softmax-output.mp4 15.0 MB
  78. 04_improved-implementation-of-softmax.en.srt 13.4 KB
  79. 04_improved-implementation-of-softmax.en.txt 7.1 KB
  80. 04_improved-implementation-of-softmax.mp4 15.1 MB
  81. 05_classification-with-multiple-outputs-optional.en.srt 6.8 KB
  82. 05_classification-with-multiple-outputs-optional.en.txt 3.6 KB
  83. 05_classification-with-multiple-outputs-optional.mp4 11.3 MB
  84. 01_advanced-optimization.en.srt 10.5 KB
  85. 01_advanced-optimization.en.txt 5.6 KB
  86. 01_advanced-optimization.mp4 15.6 MB
  87. 02_additional-layer-types.en.srt 11.3 KB
  88. 02_additional-layer-types.en.txt 7.2 KB
  89. 02_additional-layer-types.mp4 19.5 MB
  90. 01_what-is-a-derivative-optional.en.srt 29.7 KB
  91. 01_what-is-a-derivative-optional.en.txt 15.2 KB
  92. 01_what-is-a-derivative-optional.mp4 38.3 MB
  93. 02_computation-graph-optional.en.srt 26.4 KB
  94. 02_computation-graph-optional.en.txt 13.6 KB
  95. 02_computation-graph-optional.mp4 30.0 MB
  96. 03_larger-neural-network-example-optional.en.srt 11.9 KB
  97. 03_larger-neural-network-example-optional.en.txt 7.3 KB
  98. 03_larger-neural-network-example-optional.mp4 26.1 MB
  99. 01_deciding-what-to-try-next.en.srt 6.8 KB
  100. 01_deciding-what-to-try-next.en.txt 3.6 KB
  101. 01_deciding-what-to-try-next.mp4 11.4 MB
  102. 02_evaluating-a-model.en.srt 12.8 KB
  103. 02_evaluating-a-model.en.txt 8.1 KB
  104. 02_evaluating-a-model.mp4 19.5 MB
  105. 03_model-selection-and-training-cross-validation-test-sets.en.srt 21.3 KB
  106. 03_model-selection-and-training-cross-validation-test-sets.en.txt 11.2 KB
  107. 03_model-selection-and-training-cross-validation-test-sets.mp4 29.6 MB
  108. 01_diagnosing-bias-and-variance.en.srt 17.8 KB
  109. 01_diagnosing-bias-and-variance.en.txt 9.2 KB
  110. 01_diagnosing-bias-and-variance.mp4 20.3 MB
  111. 02_regularization-and-bias-variance.en.srt 16.3 KB
  112. 02_regularization-and-bias-variance.en.txt 8.3 KB
  113. 02_regularization-and-bias-variance.mp4 21.1 MB
  114. 03_establishing-a-baseline-level-of-performance.en.srt 15.8 KB
  115. 03_establishing-a-baseline-level-of-performance.en.txt 8.3 KB
  116. 03_establishing-a-baseline-level-of-performance.mp4 19.4 MB
  117. 04_learning-curves.en.srt 20.1 KB
  118. 04_learning-curves.en.txt 10.5 KB
  119. 04_learning-curves.mp4 23.3 MB
  120. 05_deciding-what-to-try-next-revisited.en.srt 14.5 KB
  121. 05_deciding-what-to-try-next-revisited.en.txt 7.8 KB
  122. 05_deciding-what-to-try-next-revisited.mp4 28.0 MB
  123. 06_bias-variance-and-neural-networks.en.srt 14.6 KB
  124. 06_bias-variance-and-neural-networks.en.txt 9.5 KB
  125. 06_bias-variance-and-neural-networks.mp4 26.9 MB
  126. 01_iterative-loop-of-ml-development.en.srt 12.1 KB
  127. 01_iterative-loop-of-ml-development.en.txt 6.4 KB
  128. 01_iterative-loop-of-ml-development.mp4 14.8 MB
  129. 02_error-analysis.en.srt 13.2 KB
  130. 02_error-analysis.en.txt 7.0 KB
  131. 02_error-analysis.mp4 17.5 MB
  132. 03_adding-data.en.srt 18.9 KB
  133. 03_adding-data.en.txt 12.0 KB
  134. 03_adding-data.mp4 32.9 MB
  135. 04_transfer-learning-using-data-from-a-different-task.en.srt 20.2 KB
  136. 04_transfer-learning-using-data-from-a-different-task.en.txt 10.5 KB
  137. 04_transfer-learning-using-data-from-a-different-task.mp4 19.0 MB
  138. 05_full-cycle-of-a-machine-learning-project.en.srt 14.5 KB
  139. 05_full-cycle-of-a-machine-learning-project.en.txt 7.7 KB
  140. 05_full-cycle-of-a-machine-learning-project.mp4 16.4 MB
  141. 06_fairness-bias-and-ethics.en.srt 13.4 KB
  142. 06_fairness-bias-and-ethics.en.txt 8.6 KB
  143. 06_fairness-bias-and-ethics.mp4 25.3 MB
  144. 01_error-metrics-for-skewed-datasets.en.srt 17.0 KB
  145. 01_error-metrics-for-skewed-datasets.en.txt 8.9 KB
  146. 01_error-metrics-for-skewed-datasets.mp4 19.0 MB
  147. 02_trading-off-precision-and-recall.en.srt 18.3 KB
  148. 02_trading-off-precision-and-recall.en.txt 9.6 KB
  149. 02_trading-off-precision-and-recall.mp4 22.2 MB
  150. 01_decision-tree-model.en.srt 10.8 KB
  151. 01_decision-tree-model.en.txt 5.6 KB
  152. 01_decision-tree-model.mp4 14.8 MB
  153. 02_learning-process.en.srt 18.0 KB
  154. 02_learning-process.en.txt 9.4 KB
  155. 02_learning-process.mp4 29.0 MB
  156. 01_measuring-purity.en.srt 10.2 KB
  157. 01_measuring-purity.en.txt 5.4 KB
  158. 01_measuring-purity.mp4 16.0 MB
  159. 02_choosing-a-split-information-gain.en.srt 17.4 KB
  160. 02_choosing-a-split-information-gain.en.txt 9.0 KB
  161. 02_choosing-a-split-information-gain.mp4 23.8 MB
  162. 03_putting-it-together.en.srt 14.6 KB
  163. 03_putting-it-together.en.txt 7.8 KB
  164. 03_putting-it-together.mp4 18.4 MB
  165. 04_using-one-hot-encoding-of-categorical-features.en.srt 6.6 KB
  166. 04_using-one-hot-encoding-of-categorical-features.en.txt 4.3 KB
  167. 04_using-one-hot-encoding-of-categorical-features.mp4 14.2 MB
  168. 05_continuous-valued-features.en.srt 8.6 KB
  169. 05_continuous-valued-features.en.txt 5.5 KB
  170. 05_continuous-valued-features.mp4 15.9 MB
  171. 06_regression-trees-optional.en.srt 12.2 KB
  172. 06_regression-trees-optional.en.txt 7.7 KB
  173. 06_regression-trees-optional.mp4 18.9 MB
  174. 01_using-multiple-decision-trees.en.srt 6.4 KB
  175. 01_using-multiple-decision-trees.en.txt 3.4 KB
  176. 01_using-multiple-decision-trees.mp4 12.5 MB
  177. 02_sampling-with-replacement.en.srt 6.5 KB
  178. 02_sampling-with-replacement.en.txt 3.4 KB
  179. 02_sampling-with-replacement.mp4 14.3 MB
  180. 03_random-forest-algorithm.en.srt 8.7 KB
  181. 03_random-forest-algorithm.en.txt 5.6 KB
  182. 03_random-forest-algorithm.mp4 12.7 MB
  183. 04_xgboost.en.srt 9.4 KB
  184. 04_xgboost.en.txt 6.0 KB
  185. 04_xgboost.mp4 21.1 MB
  186. 05_when-to-use-decision-trees.en.srt 10.5 KB
  187. 05_when-to-use-decision-trees.en.txt 5.6 KB
  188. 05_when-to-use-decision-trees.mp4 17.5 MB
  189. 01_andrew-ng-and-chris-manning-on-natural-language-processing.en.srt 63.9 KB
  190. 01_andrew-ng-and-chris-manning-on-natural-language-processing.en.txt 39.9 KB
  191. 01_andrew-ng-and-chris-manning-on-natural-language-processing.mp4 236.2 MB
  192. 01_acknowledgements_instructions.html 5.3 KB
  193. 01_welcome-to-machine-learning.en.srt 3.9 KB
  194. 01_welcome-to-machine-learning.en.txt 2.4 KB
  195. 01_welcome-to-machine-learning.mp4 22.2 MB
  196. 02_applications-of-machine-learning.en.srt 7.5 KB
  197. 02_applications-of-machine-learning.en.txt 3.9 KB
  198. 02_applications-of-machine-learning.mp4 33.4 MB
  199. 01_what-is-machine-learning.en.srt 9.5 KB
  200. 01_what-is-machine-learning.en.txt 5.0 KB
  201. 01_what-is-machine-learning.mp4 26.0 MB
  202. 02_supervised-learning-part-1.en.srt 10.8 KB
  203. 02_supervised-learning-part-1.en.txt 5.6 KB
  204. 02_supervised-learning-part-1.mp4 13.9 MB
  205. 03_supervised-learning-part-2.en.srt 8.9 KB
  206. 03_supervised-learning-part-2.en.txt 5.5 KB
  207. 03_supervised-learning-part-2.mp4 14.4 MB
  208. 04_unsupervised-learning-part-1.en.srt 11.6 KB
  209. 04_unsupervised-learning-part-1.en.txt 7.4 KB
  210. 04_unsupervised-learning-part-1.mp4 18.7 MB
  211. 05_unsupervised-learning-part-2.en.srt 5.8 KB
  212. 05_unsupervised-learning-part-2.en.txt 3.1 KB
  213. 05_unsupervised-learning-part-2.mp4 8.2 MB
  214. 06_jupyter-notebooks.en.srt 7.3 KB
  215. 06_jupyter-notebooks.en.txt 3.9 KB
  216. 06_jupyter-notebooks.mp4 19.9 MB
  217. 01_practice-quiz-supervised-vs-unsupervised-learning_exam.html 1.9 KB
  218. 01_linear-regression-model-part-1.en.srt 14.8 KB
  219. 01_linear-regression-model-part-1.en.txt 7.6 KB
  220. 01_linear-regression-model-part-1.mp4 20.3 MB
  221. 02_linear-regression-model-part-2.en.srt 9.6 KB
  222. 02_linear-regression-model-part-2.en.txt 5.0 KB
  223. 02_linear-regression-model-part-2.mp4 16.2 MB
  224. 03_cost-function-formula.en.srt 11.9 KB
  225. 03_cost-function-formula.en.txt 6.2 KB
  226. 03_cost-function-formula.mp4 16.7 MB
  227. 04_cost-function-intuition.en.srt 20.2 KB
  228. 04_cost-function-intuition.en.txt 10.2 KB
  229. 04_cost-function-intuition.mp4 29.6 MB
  230. 05_visualizing-the-cost-function.en.srt 12.3 KB
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  232. 05_visualizing-the-cost-function.mp4 17.3 MB
  233. 06_visualization-examples.en.srt 8.7 KB
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  236. 01_practice-quiz-regression_exam.html 2.6 KB
  237. 01_gradient-descent.en.srt 12.2 KB
  238. 01_gradient-descent.en.txt 6.4 KB
  239. 01_gradient-descent.mp4 22.5 MB
  240. 02_implementing-gradient-descent.en.srt 14.2 KB
  241. 02_implementing-gradient-descent.en.txt 7.5 KB
  242. 02_implementing-gradient-descent.mp4 20.9 MB
  243. 03_gradient-descent-intuition.en.srt 10.0 KB
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  245. 03_gradient-descent-intuition.mp4 13.2 MB
  246. 04_learning-rate.en.srt 11.2 KB
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  249. 05_gradient-descent-for-linear-regression.en.srt 9.1 KB
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  251. 05_gradient-descent-for-linear-regression.mp4 16.4 MB
  252. 06_running-gradient-descent.en.srt 7.3 KB
  253. 06_running-gradient-descent.en.txt 4.6 KB
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  255. 01_practice-quiz-train-the-model-with-gradient-descent_exam.html 21.4 KB
  256. 01_multiple-features.en.srt 13.4 KB
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  264. 03_vectorization-part-2.mp4 17.3 MB
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  266. 04_gradient-descent-for-multiple-linear-regression.en.txt 5.9 KB
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  268. 01_practice-quiz-multiple-linear-regression_exam.html 69.8 KB
  269. 01_feature-scaling-part-1.en.srt 7.6 KB
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  271. 01_feature-scaling-part-1.mp4 13.6 MB
  272. 02_feature-scaling-part-2.en.srt 10.8 KB
  273. 02_feature-scaling-part-2.en.txt 5.6 KB
  274. 02_feature-scaling-part-2.mp4 14.4 MB
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  276. 03_checking-gradient-descent-for-convergence.en.txt 4.3 KB
  277. 03_checking-gradient-descent-for-convergence.mp4 11.0 MB
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  285. 06_polynomial-regression.en.txt 5.0 KB
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  287. 01_practice-quiz-gradient-descent-in-practice_exam.html 164.9 KB
  288. 01_week-2-practice-lab-linear-regression_instructions.html 2.6 KB
  289. 01_motivations.en.srt 12.7 KB
  290. 01_motivations.en.txt 7.8 KB
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  319. 04_regularized-linear-regression.en.srt 12.0 KB
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  321. 04_regularized-linear-regression.mp4 19.8 MB
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