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[] PacktPub - Deep Learning with Real World Projects [Video]

  • 收录时间:2020-03-15 19:18:47
  • 文件大小:7GB
  • 下载次数:53
  • 最近下载:2021-01-13 16:09:49
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文件列表

  1. 8 - CNN-Transfer Learning/Case Study - Part 1.mp4 194MB
  2. 14 - Text generation using RNN/Text Generation - Code generator case- study (Part-1).mp4 171MB
  3. 6 - Convolution Neural Networks/Images.mp4 161MB
  4. 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 12.mp4 159MB
  5. 1 - Introduction/Representations.mp4 158MB
  6. 1 - Introduction/Neural Network Playground.mp4 152MB
  7. 1 - Introduction/Activation Functions.mp4 151MB
  8. 6 - Convolution Neural Networks/Feature Map.mp4 128MB
  9. 5 - Regularisation/Introducing Keras.mp4 123MB
  10. 1 - Introduction/Training Neural Network - Part 1.mp4 123MB
  11. 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-8).mp4 120MB
  12. 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 2.mp4 119MB
  13. 1 - Introduction/Training Neural Network - Part 3.mp4 111MB
  14. 8 - CNN-Transfer Learning/Analysis - Part 1.mp4 110MB
  15. 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-5).mp4 109MB
  16. 14 - Text generation using RNN/Text Generation - Code generator case- study (Part-2).mp4 105MB
  17. 2 - Artificial Neural Networks-Introduction/Understanding Notations.mp4 100MB
  18. 8 - CNN-Transfer Learning/Case Study - Part 2.mp4 96MB
  19. 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 8.mp4 91MB
  20. 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-2).mp4 88MB
  21. 6 - Convolution Neural Networks/Weight and Bias.mp4 83MB
  22. 1 - Introduction/Multi-Level Perceptrons.mp4 82MB
  23. 1 - Introduction/History of Deep learning.mp4 81MB
  24. 3 - ANN - Feed Forward Network/Vectorised Methods.mp4 81MB
  25. 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 9.mp4 81MB
  26. 6 - Convolution Neural Networks/Convolution - Part 2.mp4 79MB
  27. 6 - Convolution Neural Networks/Idea behind CNN - Part 2.mp4 76MB
  28. 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 14.mp4 75MB
  29. 8 - CNN-Transfer Learning/AlexNet.mp4 74MB
  30. 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 6.mp4 72MB
  31. 6 - Convolution Neural Networks/Pooling.mp4 71MB
  32. 1 - Introduction/Introduction.mp4 66MB
  33. 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 11.mp4 62MB
  34. 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-7).mp4 60MB
  35. 3 - ANN - Feed Forward Network/Understanding Dimensions.mp4 59MB
  36. 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-4).mp4 57MB
  37. 1 - Introduction/Training Neural Network - Part 2.mp4 57MB
  38. 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 10.mp4 57MB
  39. 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case-study (Part-1).mp4 56MB
  40. 6 - Convolution Neural Networks/Applications for CNN.mp4 55MB
  41. 2 - Artificial Neural Networks-Introduction/Input Layer.mp4 54MB
  42. 6 - Convolution Neural Networks/Combining Network.mp4 53MB
  43. 5 - Regularisation/Batch Normalisation - Part 3.mp4 51MB
  44. 3 - ANN - Feed Forward Network/Introduction.mp4 50MB
  45. 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 3.mp4 50MB
  46. 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 1.mp4 50MB
  47. 2 - Artificial Neural Networks-Introduction/Neural Networks.mp4 49MB
  48. 5 - Regularisation/Introduction to Regularisation.mp4 49MB
  49. 8 - CNN-Transfer Learning/GoogleNet.mp4 49MB
  50. 14 - Text generation using RNN/Text Generation - Code generator case- study (Part-3).mp4 49MB
  51. 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 4.mp4 49MB
  52. 4 - Back Propagation/Back Propagation Training - Part 1.mp4 47MB
  53. 8 - CNN-Transfer Learning/Analysis - Part 2.mp4 46MB
  54. 6 - Convolution Neural Networks/Idea behind CNN - Part 1.mp4 46MB
  55. 2 - Artificial Neural Networks-Introduction/Assumptions in Neural Networks.mp4 46MB
  56. 5 - Regularisation/Introducing TensorFlow.mp4 45MB
  57. 2 - Artificial Neural Networks-Introduction/Example for Perceptron.mp4 45MB
  58. 7 - CNN-Keras/VGG16 (Visual Geometry Group).mp4 45MB
  59. 8 - CNN-Transfer Learning/Introduction.mp4 45MB
  60. 4 - Back Propagation/Introducing Loss Function.mp4 44MB
  61. 3 - ANN - Feed Forward Network/Bidirectional RNN.mp4 43MB
  62. 6 - Convolution Neural Networks/Convolution - Part 1.mp4 43MB
  63. 6 - Convolution Neural Networks/Introduction.mp4 43MB
  64. 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-3).mp4 43MB
  65. 2 - Artificial Neural Networks-Introduction/Activation Functions.mp4 42MB
  66. 3 - ANN - Feed Forward Network/Pseudocode.mp4 41MB
  67. 14 - Text generation using RNN/Text Generation - Code generator case- study (Part-4).mp4 40MB
  68. 6 - Convolution Neural Networks/Video.mp4 40MB
  69. 8 - CNN-Transfer Learning/Transfer Learning - Part 4.mp4 40MB
  70. 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 5.mp4 39MB
  71. 8 - CNN-Transfer Learning/Case Study - Part 3.mp4 39MB
  72. 4 - Back Propagation/SGD.mp4 39MB
  73. 4 - Back Propagation/Back Propagation Training - Part 2.mp4 38MB
  74. 2 - Artificial Neural Networks-Introduction/Multi Classifier.mp4 38MB
  75. 1 - Introduction/Perceptrons.mp4 38MB
  76. 5 - Regularisation/Batch Normalisation - Part 2.mp4 38MB
  77. 8 - CNN-Transfer Learning/Transfer Learning - Part 6.mp4 36MB
  78. 5 - Regularisation/Batch Normalisation - Part 1.mp4 36MB
  79. 3 - ANN - Feed Forward Network/Online Offline Mode.mp4 36MB
  80. 7 - CNN-Keras/Practical on CNN - Case Study - Part 3.mp4 36MB
  81. 4 - Back Propagation/Introduction.mp4 35MB
  82. 8 - CNN-Transfer Learning/Transfer Learning - Part 3.mp4 35MB
  83. 4 - Back Propagation/Back Propagation Training - Part 5.mp4 35MB
  84. 4 - Back Propagation/Back Propagation Training - Part 4.mp4 35MB
  85. 6 - Convolution Neural Networks/Stride and Padding.mp4 34MB
  86. 2 - Artificial Neural Networks-Introduction/Training in Neural Networks.mp4 33MB
  87. 8 - CNN-Transfer Learning/ResNet - Part 1.mp4 32MB
  88. 2 - Artificial Neural Networks-Introduction/Perceptron for Classifiers.mp4 32MB
  89. 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 13.mp4 32MB
  90. 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-9).mp4 31MB
  91. 2 - Artificial Neural Networks-Introduction/Perceptron in Depth.mp4 31MB
  92. 2 - Artificial Neural Networks-Introduction/Perceptron.mp4 30MB
  93. 11 - Recurrent Neural Networks - Introduction/Simplified Notations.mp4 29MB
  94. 11 - Recurrent Neural Networks - Introduction/RNN Formula.mp4 29MB
  95. 2 - Artificial Neural Networks-Introduction/Deep Learning.mp4 29MB
  96. 4 - Back Propagation/Back Propagation Training - Part 9.mp4 29MB
  97. 3 - ANN - Feed Forward Network/Pseudocode for Batch.mp4 29MB
  98. 7 - CNN-Keras/Practical on CNN - Case Study - Part 2.mp4 28MB
  99. 8 - CNN-Transfer Learning/ResNet - Part 2.mp4 28MB
  100. 8 - CNN-Transfer Learning/Transfer Learning - Part 5.mp4 27MB
  101. 12 - Recurrent Neural Networks - LSTM/Gated Recurrent Network (GRU).mp4 27MB
  102. 4 - Back Propagation/Back Propagation Training - Part 8.mp4 27MB
  103. 2 - Artificial Neural Networks-Introduction/Understanding Human Brain.mp4 27MB
  104. 10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 5.mp4 27MB
  105. 2 - Artificial Neural Networks-Introduction/Sigmoid function.mp4 27MB
  106. 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 7.mp4 26MB
  107. 4 - Back Propagation/Sigmoid Function.mp4 26MB
  108. 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-6).mp4 26MB
  109. 5 - Regularisation/Dropouts Part 1.mp4 24MB
  110. 2 - Artificial Neural Networks-Introduction/Introduction.mp4 24MB
  111. 2 - Artificial Neural Networks-Introduction/Homogeneous Co-ordinate.mp4 24MB
  112. 4 - Back Propagation/Back Propagation Training - Part 6.mp4 23MB
  113. 4 - Back Propagation/Back Propagation Training - Part 10.mp4 23MB
  114. 4 - Back Propagation/Training for Batches.mp4 23MB
  115. 11 - Recurrent Neural Networks - Introduction/Architecture.mp4 22MB
  116. 11 - Recurrent Neural Networks - Introduction/Vanishing Gradient.mp4 21MB
  117. 4 - Back Propagation/Back Propagation Training - Part 7.mp4 21MB
  118. 2 - Artificial Neural Networks-Introduction/Understanding MNIST.mp4 20MB
  119. 8 - CNN-Transfer Learning/Transfer Learning - Part 2.mp4 20MB
  120. 9 - CNN-Industry Live Project - Playing..Natural Images/Introduction.mp4 20MB
  121. 12 - Recurrent Neural Networks - LSTM/LSTM - Part 5.mp4 20MB
  122. 6 - Convolution Neural Networks/Formulas.mp4 19MB
  123. 10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 6.mp4 18MB
  124. 10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 4.mp4 18MB
  125. 11 - Recurrent Neural Networks - Introduction/One-to-Many.mp4 17MB
  126. 6 - Convolution Neural Networks/Padding.mp4 15MB
  127. 4 - Back Propagation/Back Propagation Training - Part 3.mp4 15MB
  128. 12 - Recurrent Neural Networks - LSTM/Bidirectional RNN.mp4 14MB
  129. 10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 3.mp4 14MB
  130. 2 - Artificial Neural Networks-Introduction/Output Layer.mp4 14MB
  131. 11 - Recurrent Neural Networks - Introduction/Introduction to RNN.mp4 13MB
  132. 5 - Regularisation/Dropouts Part 2.mp4 13MB
  133. 11 - Recurrent Neural Networks - Introduction/Types of RNN - Part 2.mp4 13MB
  134. 7 - CNN-Keras/Practical on CNN - Case Study - Part 4.mp4 13MB
  135. 4 - Back Propagation/Pseudocode.mp4 13MB
  136. 11 - Recurrent Neural Networks - Introduction/Training RNN.mp4 12MB
  137. 12 - Recurrent Neural Networks - LSTM/LSTM - Part 4.mp4 12MB
  138. 10 - CNN-Industry Live Project - Find..Save Life/Introduction.mp4 11MB
  139. 4 - Back Propagation/Finding Global Minima.mp4 10MB
  140. 7 - CNN-Keras/Practical on CNN - Case Study - Part 1.mp4 10MB
  141. 12 - Recurrent Neural Networks - LSTM/Online Offline Mode.mp4 10MB
  142. 11 - Recurrent Neural Networks - Introduction/RNN - Part 1.mp4 10MB
  143. 10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 1.mp4 9MB
  144. 10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 2.mp4 9MB
  145. 11 - Recurrent Neural Networks - Introduction/Batch data.mp4 9MB
  146. 12 - Recurrent Neural Networks - LSTM/LSTM Equation.mp4 9MB
  147. 7 - CNN-Keras/Introduction.mp4 8MB
  148. 12 - Recurrent Neural Networks - LSTM/LSTM - Part 1.mp4 8MB
  149. 7 - CNN-Keras/Practical on CNN - Case Study - Part 5.mp4 8MB
  150. 8 - CNN-Transfer Learning/Transfer Learning - Part 1.mp4 7MB
  151. 11 - Recurrent Neural Networks - Introduction/Types of RNN - Part 1.mp4 7MB
  152. 11 - Recurrent Neural Networks - Introduction/RNN Part 2.mp4 6MB
  153. 12 - Recurrent Neural Networks - LSTM/LSTM - Part 2.mp4 6MB
  154. 12 - Recurrent Neural Networks - LSTM/Introduction.mp4 4MB
  155. 12 - Recurrent Neural Networks - LSTM/LSTM - Part 3.mp4 4MB
  156. 1 - Introduction/Code Password.mp4 720KB
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