589689.xyz

Introduction to Machine Learning with ENCOG 3

  • 收录时间:2018-02-26 23:37:23
  • 文件大小:366MB
  • 下载次数:186
  • 最近下载:2021-01-16 22:56:01
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 06 Neural Network Components in ENCOG for .NET/08 Demo XOR problem with ENCOG 3 in C#.mp4 28MB
  2. 09 Case Studies (Classification and Regression Task)/10 Demo Case Study 1 Evaluate Network.mp4 26MB
  3. 09 Case Studies (Classification and Regression Task)/15 Demo Case Study 2 Normalize.mp4 21MB
  4. 07 Propagation Training/11 Demo.mp4 17MB
  5. 09 Case Studies (Classification and Regression Task)/07 Demo Case Study 1 Normalize.mp4 17MB
  6. 09 Case Studies (Classification and Regression Task)/05 Demo Case Study 1 Shuffle.mp4 13MB
  7. 09 Case Studies (Classification and Regression Task)/18 Demo Case Study 2 Evaluate Network.mp4 12MB
  8. 09 Case Studies (Classification and Regression Task)/08 Demo Case Study 1 Create Network.mp4 12MB
  9. 09 Case Studies (Classification and Regression Task)/06 Demo Case Study 1 Segregate.mp4 10MB
  10. 03 Machine Learning Tasks/02 Classification.mp4 10MB
  11. 09 Case Studies (Classification and Regression Task)/09 Demo Case Study 1 Train Network.mp4 10MB
  12. 09 Case Studies (Classification and Regression Task)/13 Demo Case Study 2 Shuffle.mp4 8MB
  13. 03 Machine Learning Tasks/03 Regression.mp4 7MB
  14. 04 Introduction to Neural Networks/09 Neural Network Computation.mp4 7MB
  15. 04 Introduction to Neural Networks/11 Model Training.mp4 7MB
  16. 06 Neural Network Components in ENCOG for .NET/04 Network.mp4 7MB
  17. 07 Propagation Training/04 Basic Concepts.mp4 6MB
  18. 03 Machine Learning Tasks/04 Clustering.mp4 6MB
  19. 04 Introduction to Neural Networks/05 Neural Network Component Neuron Types.mp4 5MB
  20. introduction-to-machine-learning-encog.zip 5MB
  21. 09 Case Studies (Classification and Regression Task)/03 Case Study 1 Classification Task.mp4 5MB
  22. 06 Neural Network Components in ENCOG for .NET/03 Data.mp4 5MB
  23. 09 Case Studies (Classification and Regression Task)/11 Case Study 2 Regression Task.mp4 4MB
  24. 07 Propagation Training/03 Propagation Training.mp4 4MB
  25. 05 Introduction to ENCOG 3/06 ENCOG Resources.mp4 4MB
  26. 04 Introduction to Neural Networks/10 Model Creation.mp4 4MB
  27. 08 Data Normalization/08 Nominal Data Field Normalization.mp4 4MB
  28. 08 Data Normalization/04 Need Of Normalization.mp4 4MB
  29. 08 Data Normalization/03 Field Types.mp4 4MB
  30. 09 Case Studies (Classification and Regression Task)/16 Demo Case Study 2 Create Network.mp4 4MB
  31. 09 Case Studies (Classification and Regression Task)/14 Demo Case Study 2 Segregate.mp4 4MB
  32. 09 Case Studies (Classification and Regression Task)/12 Flow Chart.mp4 3MB
  33. 05 Introduction to ENCOG 3/05 ENCOG Coverage.mp4 3MB
  34. 09 Case Studies (Classification and Regression Task)/04 Flow Chart.mp4 3MB
  35. 08 Data Normalization/07 Numeric Data Field Normalization in ENCOG.mp4 3MB
  36. 04 Introduction to Neural Networks/03 Human Neuron vs Artificial Neuron.mp4 3MB
  37. 04 Introduction to Neural Networks/07 Neural Network Component Activation Function.mp4 3MB
  38. 08 Data Normalization/09 ENCOG Analyst.mp4 3MB
  39. 01 Introduction to Machine Learning/03 Why This Course .mp4 3MB
  40. 04 Introduction to Neural Networks/08 Neural Network Component Layers.mp4 3MB
  41. 09 Case Studies (Classification and Regression Task)/17 Demo Case Study 2 Train Network.mp4 3MB
  42. 08 Data Normalization/06 Numeric Data Field Normalization.mp4 3MB
  43. 04 Introduction to Neural Networks/04 Neuron Computation.mp4 3MB
  44. 08 Data Normalization/05 Normalization and De-Normalization.mp4 2MB
  45. 06 Neural Network Components in ENCOG for .NET/05 Training.mp4 2MB
  46. 04 Introduction to Neural Networks/06 Neural Network Component Weights.mp4 2MB
  47. 07 Propagation Training/05 Back Propagation Algorithm.mp4 2MB
  48. 07 Propagation Training/08 Resilient Propagation Algorithm.mp4 2MB
  49. 02 Applications of Machine Learning/04 e-Commerce.mp4 2MB
  50. 02 Applications of Machine Learning/02 Internet.mp4 2MB
  51. 01 Introduction to Machine Learning/06 Course Structure.mp4 2MB
  52. 05 Introduction to ENCOG 3/04 Why ENCOG .mp4 2MB
  53. 07 Propagation Training/06 Manhattan Update Rule.mp4 2MB
  54. 04 Introduction to Neural Networks/01 Introduction.mp4 1MB
  55. 01 Introduction to Machine Learning/04 Key Concepts.mp4 1MB
  56. 04 Introduction to Neural Networks/13 Summary.mp4 1MB
  57. 08 Data Normalization/01 Introduction.mp4 1MB
  58. 02 Applications of Machine Learning/03 Financial Sector.mp4 1MB
  59. 07 Propagation Training/10 Levenberg Marquardt Algorithm.mp4 1MB
  60. 09 Case Studies (Classification and Regression Task)/02 Outline.mp4 1MB
  61. 02 Applications of Machine Learning/07 Summary.mp4 1MB
  62. 02 Applications of Machine Learning/06 Others.mp4 1MB
  63. 06 Neural Network Components in ENCOG for .NET/07 XOR Problem.mp4 1MB
  64. 03 Machine Learning Tasks/01 Introduction.mp4 1MB
  65. 02 Applications of Machine Learning/05 Process Industry.mp4 1MB
  66. 06 Neural Network Components in ENCOG for .NET/01 Introduction.mp4 1022KB
  67. 04 Introduction to Neural Networks/12 Model Validation.mp4 1017KB
  68. 07 Propagation Training/07 Quick Propagation Algorithm.mp4 997KB
  69. 01 Introduction to Machine Learning/05 Spam Filtering.mp4 922KB
  70. 09 Case Studies (Classification and Regression Task)/01 Introduction.mp4 867KB
  71. 04 Introduction to Neural Networks/02 Outline.mp4 863KB
  72. 07 Propagation Training/09 Scaled Conjugate Gradient.mp4 844KB
  73. 06 Neural Network Components in ENCOG for .NET/06 Evaluation.mp4 826KB
  74. 08 Data Normalization/02 Outline.mp4 767KB
  75. 09 Case Studies (Classification and Regression Task)/19 Summary.mp4 685KB
  76. 02 Applications of Machine Learning/01 Introduction.mp4 663KB
  77. 07 Propagation Training/12 Summary.mp4 660KB
  78. 08 Data Normalization/10 Summary.mp4 642KB
  79. 07 Propagation Training/01 Introduction.mp4 616KB
  80. 01 Introduction to Machine Learning/01 Introduction.mp4 614KB
  81. 05 Introduction to ENCOG 3/07 Summary.mp4 583KB
  82. 05 Introduction to ENCOG 3/01 Introduction.mp4 538KB
  83. 03 Machine Learning Tasks/05 Summary.mp4 537KB
  84. 01 Introduction to Machine Learning/02 Why Machine Learning .mp4 530KB
  85. 05 Introduction to ENCOG 3/03 About ENCOG.mp4 460KB
  86. 07 Propagation Training/02 Outline.mp4 431KB
  87. 05 Introduction to ENCOG 3/02 Outline.mp4 424KB
  88. 06 Neural Network Components in ENCOG for .NET/02 Outline.mp4 400KB
  89. 06 Neural Network Components in ENCOG for .NET/08 Demo XOR problem with ENCOG 3 in C#.srt 8KB
  90. 03 Machine Learning Tasks/02 Classification.srt 6KB
  91. 04 Introduction to Neural Networks/11 Model Training.srt 6KB
  92. 03 Machine Learning Tasks/03 Regression.srt 5KB
  93. 09 Case Studies (Classification and Regression Task)/10 Demo Case Study 1 Evaluate Network.srt 5KB
  94. 09 Case Studies (Classification and Regression Task)/07 Demo Case Study 1 Normalize.srt 5KB
  95. 04 Introduction to Neural Networks/10 Model Creation.srt 5KB
  96. 03 Machine Learning Tasks/04 Clustering.srt 4KB
  97. 06 Neural Network Components in ENCOG for .NET/04 Network.srt 4KB
  98. 09 Case Studies (Classification and Regression Task)/08 Demo Case Study 1 Create Network.srt 4KB
  99. 09 Case Studies (Classification and Regression Task)/05 Demo Case Study 1 Shuffle.srt 4KB
  100. 09 Case Studies (Classification and Regression Task)/15 Demo Case Study 2 Normalize.srt 4KB
  101. 07 Propagation Training/04 Basic Concepts.srt 4KB
  102. 06 Neural Network Components in ENCOG for .NET/03 Data.srt 4KB
  103. 08 Data Normalization/08 Nominal Data Field Normalization.srt 4KB
  104. 04 Introduction to Neural Networks/09 Neural Network Computation.srt 3KB
  105. 09 Case Studies (Classification and Regression Task)/09 Demo Case Study 1 Train Network.srt 3KB
  106. 08 Data Normalization/03 Field Types.srt 3KB
  107. 09 Case Studies (Classification and Regression Task)/18 Demo Case Study 2 Evaluate Network.srt 3KB
  108. 04 Introduction to Neural Networks/05 Neural Network Component Neuron Types.srt 3KB
  109. 08 Data Normalization/04 Need Of Normalization.srt 3KB
  110. 07 Propagation Training/11 Demo.srt 3KB
  111. 09 Case Studies (Classification and Regression Task)/06 Demo Case Study 1 Segregate.srt 3KB
  112. 07 Propagation Training/03 Propagation Training.srt 3KB
  113. 09 Case Studies (Classification and Regression Task)/03 Case Study 1 Classification Task.srt 3KB
  114. 04 Introduction to Neural Networks/03 Human Neuron vs Artificial Neuron.srt 3KB
  115. 09 Case Studies (Classification and Regression Task)/11 Case Study 2 Regression Task.srt 2KB
  116. 02 Applications of Machine Learning/02 Internet.srt 2KB
  117. 01 Introduction to Machine Learning/03 Why This Course .srt 2KB
  118. 05 Introduction to ENCOG 3/05 ENCOG Coverage.srt 2KB
  119. 08 Data Normalization/06 Numeric Data Field Normalization.srt 2KB
  120. 09 Case Studies (Classification and Regression Task)/13 Demo Case Study 2 Shuffle.srt 2KB
  121. 09 Case Studies (Classification and Regression Task)/04 Flow Chart.srt 2KB
  122. 04 Introduction to Neural Networks/08 Neural Network Component Layers.srt 2KB
  123. 06 Neural Network Components in ENCOG for .NET/05 Training.srt 2KB
  124. 05 Introduction to ENCOG 3/04 Why ENCOG .srt 2KB
  125. 01 Introduction to Machine Learning/06 Course Structure.srt 2KB
  126. 04 Introduction to Neural Networks/07 Neural Network Component Activation Function.srt 2KB
  127. 02 Applications of Machine Learning/04 e-Commerce.srt 2KB
  128. 09 Case Studies (Classification and Regression Task)/12 Flow Chart.srt 2KB
  129. 08 Data Normalization/05 Normalization and De-Normalization.srt 2KB
  130. 09 Case Studies (Classification and Regression Task)/02 Outline.srt 2KB
  131. 02 Applications of Machine Learning/03 Financial Sector.srt 2KB
  132. 07 Propagation Training/05 Back Propagation Algorithm.srt 2KB
  133. 08 Data Normalization/07 Numeric Data Field Normalization in ENCOG.srt 2KB
  134. 07 Propagation Training/08 Resilient Propagation Algorithm.srt 2KB
  135. 02 Applications of Machine Learning/06 Others.srt 2KB
  136. 08 Data Normalization/09 ENCOG Analyst.srt 2KB
  137. 05 Introduction to ENCOG 3/06 ENCOG Resources.srt 1KB
  138. 07 Propagation Training/06 Manhattan Update Rule.srt 1KB
  139. 04 Introduction to Neural Networks/13 Summary.srt 1KB
  140. 02 Applications of Machine Learning/05 Process Industry.srt 1KB
  141. 04 Introduction to Neural Networks/06 Neural Network Component Weights.srt 1KB
  142. 02 Applications of Machine Learning/07 Summary.srt 1KB
  143. 09 Case Studies (Classification and Regression Task)/16 Demo Case Study 2 Create Network.srt 1KB
  144. 04 Introduction to Neural Networks/01 Introduction.srt 1KB
  145. 01 Introduction to Machine Learning/04 Key Concepts.srt 1KB
  146. 09 Case Studies (Classification and Regression Task)/14 Demo Case Study 2 Segregate.srt 1KB
  147. 04 Introduction to Neural Networks/04 Neuron Computation.srt 1KB
  148. 04 Introduction to Neural Networks/12 Model Validation.srt 1KB
  149. 03 Machine Learning Tasks/01 Introduction.srt 1018B
  150. 07 Propagation Training/10 Levenberg Marquardt Algorithm.srt 991B
  151. 01 Introduction to Machine Learning/05 Spam Filtering.srt 931B
  152. 06 Neural Network Components in ENCOG for .NET/06 Evaluation.srt 921B
  153. 04 Introduction to Neural Networks/02 Outline.srt 910B
  154. 06 Neural Network Components in ENCOG for .NET/07 XOR Problem.srt 876B
  155. 08 Data Normalization/02 Outline.srt 849B
  156. 08 Data Normalization/10 Summary.srt 843B
  157. 09 Case Studies (Classification and Regression Task)/19 Summary.srt 838B
  158. 07 Propagation Training/07 Quick Propagation Algorithm.srt 826B
  159. 07 Propagation Training/12 Summary.srt 778B
  160. 07 Propagation Training/09 Scaled Conjugate Gradient.srt 727B
  161. 03 Machine Learning Tasks/05 Summary.srt 667B
  162. 05 Introduction to ENCOG 3/02 Outline.srt 658B
  163. 09 Case Studies (Classification and Regression Task)/17 Demo Case Study 2 Train Network.srt 656B
  164. 05 Introduction to ENCOG 3/07 Summary.srt 629B
  165. 06 Neural Network Components in ENCOG for .NET/02 Outline.srt 617B
  166. 08 Data Normalization/01 Introduction.srt 615B
  167. 07 Propagation Training/02 Outline.srt 596B
  168. 01 Introduction to Machine Learning/02 Why Machine Learning .srt 569B
  169. 06 Neural Network Components in ENCOG for .NET/01 Introduction.srt 564B
  170. 09 Case Studies (Classification and Regression Task)/01 Introduction.srt 516B
  171. 05 Introduction to ENCOG 3/03 About ENCOG.srt 495B
  172. 07 Propagation Training/01 Introduction.srt 385B
  173. 02 Applications of Machine Learning/01 Introduction.srt 383B
  174. 01 Introduction to Machine Learning/01 Introduction.srt 358B
  175. 05 Introduction to ENCOG 3/01 Introduction.srt 328B