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[GigaCourse.com] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks

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视频 2022-12-8 19:32 2024-5-8 18:19 316 3.02 GB 155
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GigaCourse com Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks

文件列表
  1. 1. Welcome to the course/1. What is Deep Learning.mp431.32MB
  2. 1. Welcome to the course/2. Updates on Udemy Reviews.mp420.41MB
  3. 1. Welcome to the course/4. Installing Python.mp420.38MB
  4. 1. Welcome to the course/5. How to get the dataset.mp46.48MB
  5. 10. Building a CNN/1. How to get the dataset.mp46.49MB
  6. 10. Building a CNN/10. Building a CNN - Step 7.mp412.57MB
  7. 10. Building a CNN/11. Building a CNN - Step 8.mp46.8MB
  8. 10. Building a CNN/12. Building a CNN - Step 9.mp446.88MB
  9. 10. Building a CNN/13. Building a CNN - Step 10.mp420.55MB
  10. 10. Building a CNN/3. Introduction to CNNs.mp47.84MB
  11. 10. Building a CNN/4. Building a CNN - Step 1.mp419.18MB
  12. 10. Building a CNN/5. Building a CNN - Step 2.mp45.85MB
  13. 10. Building a CNN/6. Building a CNN - Step 3.mp42.24MB
  14. 10. Building a CNN/7. Building a CNN - Step 4.mp427.2MB
  15. 10. Building a CNN/8. Building a CNN - Step 5.mp49.91MB
  16. 10. Building a CNN/9. Building a CNN - Step 6.mp49.7MB
  17. 11. Homework - What's that pet/2. Homework Solution.mp440.97MB
  18. 14. RNN Intuition/2. Plan of attack.mp44.2MB
  19. 14. RNN Intuition/3. The idea behind Recurrent Neural Networks.mp437.3MB
  20. 14. RNN Intuition/4. The Vanishing Gradient Problem.mp429.02MB
  21. 14. RNN Intuition/5. LSTMs.mp445.96MB
  22. 14. RNN Intuition/6. Practical intuition.mp452.85MB
  23. 14. RNN Intuition/7. EXTRA LSTM Variations.mp47.33MB
  24. 15. Building a RNN/1. How to get the dataset.mp46.5MB
  25. 15. Building a RNN/10. Building a RNN - Step 8.mp413.43MB
  26. 15. Building a RNN/11. Building a RNN - Step 9.mp48.17MB
  27. 15. Building a RNN/12. Building a RNN - Step 10.mp411.43MB
  28. 15. Building a RNN/13. Building a RNN - Step 11.mp429.3MB
  29. 15. Building a RNN/14. Building a RNN - Step 12.mp413.47MB
  30. 15. Building a RNN/15. Building a RNN - Step 13.mp439.86MB
  31. 15. Building a RNN/16. Building a RNN - Step 14.mp421.55MB
  32. 15. Building a RNN/17. Building a RNN - Step 15.mp421.68MB
  33. 15. Building a RNN/3. Building a RNN - Step 1.mp413.7MB
  34. 15. Building a RNN/4. Building a RNN - Step 2.mp415.59MB
  35. 15. Building a RNN/5. Building a RNN - Step 3.mp415.92MB
  36. 15. Building a RNN/6. Building a RNN - Step 4.mp437.12MB
  37. 15. Building a RNN/7. Building a RNN - Step 5.mp426.21MB
  38. 15. Building a RNN/8. Building a RNN - Step 6.mp46.76MB
  39. 15. Building a RNN/9. Building a RNN - Step 7.mp420.84MB
  40. 18. SOMs Intuition/1. Plan of attack.mp44.46MB
  41. 18. SOMs Intuition/10. EXTRA K-means Clustering (part 3).mp418.48MB
  42. 18. SOMs Intuition/2. How do Self-Organizing Maps Work.mp415.96MB
  43. 18. SOMs Intuition/3. Why revisit K-Means.mp43.45MB
  44. 18. SOMs Intuition/4. K-Means Clustering (Refresher).mp421.24MB
  45. 18. SOMs Intuition/5. How do Self-Organizing Maps Learn (Part 1).mp425.08MB
  46. 18. SOMs Intuition/6. How do Self-Organizing Maps Learn (Part 2).mp415.5MB
  47. 18. SOMs Intuition/7. Live SOM example.mp412.69MB
  48. 18. SOMs Intuition/8. Reading an Advanced SOM.mp443.18MB
  49. 18. SOMs Intuition/9. EXTRA K-means Clustering (part 2).mp412.35MB
  50. 19. Building a SOM/1. How to get the dataset.mp46.49MB
  51. 19. Building a SOM/2. Building a SOM - Step 1.mp430.67MB
  52. 19. Building a SOM/3. Building a SOM - Step 2.mp419.43MB
  53. 19. Building a SOM/4. Building a SOM - Step 3.mp436.04MB
  54. 19. Building a SOM/5. Building a SOM - Step 4.mp428.74MB
  55. 20. Mega Case Study/1. Mega Case Study - Step 1.mp44.28MB
  56. 20. Mega Case Study/2. Mega Case Study - Step 2.mp49.68MB
  57. 20. Mega Case Study/3. Mega Case Study - Step 3.mp435.21MB
  58. 20. Mega Case Study/4. Mega Case Study - Step 4.mp422.75MB
  59. 22. Boltzmann Machine Intuition/1. Plan of attack.mp43.26MB
  60. 22. Boltzmann Machine Intuition/2. Boltzmann Machine.mp425.01MB
  61. 22. Boltzmann Machine Intuition/3. Energy-Based Models (EBM).mp415.73MB
  62. 22. Boltzmann Machine Intuition/4. Editing Wikipedia - Our Contribution to the World.mp418.44MB
  63. 22. Boltzmann Machine Intuition/5. Restricted Boltzmann Machine.mp431.89MB
  64. 22. Boltzmann Machine Intuition/6. Contrastive Divergence.mp424.92MB
  65. 22. Boltzmann Machine Intuition/7. Deep Belief Networks.mp410.35MB
  66. 22. Boltzmann Machine Intuition/8. Deep Boltzmann Machines.mp44.85MB
  67. 23. Building a Boltzmann Machine/1. How to get the dataset.mp46.49MB
  68. 23. Building a Boltzmann Machine/10. Building a Boltzmann Machine - Step 6.mp418.8MB
  69. 23. Building a Boltzmann Machine/11. Building a Boltzmann Machine - Step 7.mp422.91MB
  70. 23. Building a Boltzmann Machine/12. Building a Boltzmann Machine - Step 8.mp429.21MB
  71. 23. Building a Boltzmann Machine/13. Building a Boltzmann Machine - Step 9.mp415.27MB
  72. 23. Building a Boltzmann Machine/14. Building a Boltzmann Machine - Step 10.mp424.43MB
  73. 23. Building a Boltzmann Machine/15. Building a Boltzmann Machine - Step 11.mp416.69MB
  74. 23. Building a Boltzmann Machine/16. Building a Boltzmann Machine - Step 12.mp430.96MB
  75. 23. Building a Boltzmann Machine/17. Building a Boltzmann Machine - Step 13.mp442.98MB
  76. 23. Building a Boltzmann Machine/18. Building a Boltzmann Machine - Step 14.mp440.44MB
  77. 23. Building a Boltzmann Machine/3. Building a Boltzmann Machine - Introduction.mp421.07MB
  78. 23. Building a Boltzmann Machine/5. Building a Boltzmann Machine - Step 1.mp421.17MB
  79. 23. Building a Boltzmann Machine/6. Building a Boltzmann Machine - Step 2.mp420.84MB
  80. 23. Building a Boltzmann Machine/7. Building a Boltzmann Machine - Step 3.mp418.21MB
  81. 23. Building a Boltzmann Machine/8. Building a Boltzmann Machine - Step 4.mp445.65MB
  82. 23. Building a Boltzmann Machine/9. Building a Boltzmann Machine - Step 5.mp411.12MB
  83. 25. AutoEncoders Intuition/1. Plan of attack.mp43.36MB
  84. 25. AutoEncoders Intuition/10. Deep Autoencoders.mp42.85MB
  85. 25. AutoEncoders Intuition/2. Auto Encoders.mp421.55MB
  86. 25. AutoEncoders Intuition/3. A Note on Biases.mp42.05MB
  87. 25. AutoEncoders Intuition/4. Training an Auto Encoder.mp411.13MB
  88. 25. AutoEncoders Intuition/5. Overcomplete hidden layers.mp46.42MB
  89. 25. AutoEncoders Intuition/6. Sparse Autoencoders.mp411.52MB
  90. 25. AutoEncoders Intuition/7. Denoising Autoencoders.mp44.74MB
  91. 25. AutoEncoders Intuition/8. Contractive Autoencoders.mp44.35MB
  92. 25. AutoEncoders Intuition/9. Stacked Autoencoders.mp43.64MB
  93. 26. Building an AutoEncoder/1. How to get the dataset.mp46.49MB
  94. 26. Building an AutoEncoder/10. Building an AutoEncoder - Step 6.mp437.92MB
  95. 26. Building an AutoEncoder/11. Building an AutoEncoder - Step 7.mp433.71MB
  96. 26. Building an AutoEncoder/12. Building an AutoEncoder - Step 8.mp433.83MB
  97. 26. Building an AutoEncoder/13. Building an AutoEncoder - Step 9.mp431.61MB
  98. 26. Building an AutoEncoder/14. Building an AutoEncoder - Step 10.mp411.26MB
  99. 26. Building an AutoEncoder/15. Building an AutoEncoder - Step 11.mp428.3MB
  100. 26. Building an AutoEncoder/16. THANK YOU bonus video.mp452.31MB
  101. 26. Building an AutoEncoder/4. Building an AutoEncoder - Step 1.mp426.04MB
  102. 26. Building an AutoEncoder/5. Building an AutoEncoder - Step 2.mp427.82MB
  103. 26. Building an AutoEncoder/6. Building an AutoEncoder - Step 3.mp420.1MB
  104. 26. Building an AutoEncoder/8. Building an AutoEncoder - Step 4.mp449.57MB
  105. 26. Building an AutoEncoder/9. Building an AutoEncoder - Step 5.mp411.87MB
  106. 28. Regression & Classification Intuition/2. Simple Linear Regression Intuition - Step 1.mp49.47MB
  107. 28. Regression & Classification Intuition/3. Simple Linear Regression Intuition - Step 2.mp45.38MB
  108. 28. Regression & Classification Intuition/4. Multiple Linear Regression Intuition.mp41.82MB
  109. 28. Regression & Classification Intuition/5. Logistic Regression Intuition.mp429.18MB
  110. 29. Data Preprocessing Template/1. Data Preprocessing - Step 1.mp413.25MB
  111. 29. Data Preprocessing Template/2. Data Preprocessing - Step 2.mp415.86MB
  112. 29. Data Preprocessing Template/3. Data Preprocessing - Step 3.mp421.73MB
  113. 29. Data Preprocessing Template/4. Data Preprocessing - Step 4.mp428.95MB
  114. 29. Data Preprocessing Template/5. Data Preprocessing - Step 5.mp422.89MB
  115. 29. Data Preprocessing Template/6. Data Preprocessing - Step 6.mp422.81MB
  116. 29. Data Preprocessing Template/7. Data Preprocessing Template.mp48.13MB
  117. 3. ANN Intuition/1. Plan of Attack.mp44.74MB
  118. 3. ANN Intuition/2. The Neuron.mp429.57MB
  119. 3. ANN Intuition/3. The Activation Function.mp414.76MB
  120. 3. ANN Intuition/4. How do Neural Networks work.mp423.54MB
  121. 3. ANN Intuition/5. How do Neural Networks learn.mp426.55MB
  122. 3. ANN Intuition/6. Gradient Descent.mp418.53MB
  123. 3. ANN Intuition/7. Stochastic Gradient Descent.mp416.82MB
  124. 3. ANN Intuition/8. Backpropagation.mp410.92MB
  125. 30. Classification Template/1. Logistic Regression Implementation - Step 1.mp412.19MB
  126. 30. Classification Template/2. Logistic Regression Implementation - Step 2.mp48.14MB
  127. 30. Classification Template/3. Logistic Regression Implementation - Step 3.mp45.97MB
  128. 30. Classification Template/4. Logistic Regression Implementation - Step 4.mp49.68MB
  129. 30. Classification Template/5. Logistic Regression Implementation - Step 5.mp442.49MB
  130. 30. Classification Template/6. Classification Template.mp411.72MB
  131. 4. Building an ANN/10. Building an ANN - Step 6.mp47.06MB
  132. 4. Building an ANN/11. Building an ANN - Step 7.mp48.99MB
  133. 4. Building an ANN/12. Building an ANN - Step 8.mp418.18MB
  134. 4. Building an ANN/13. Building an ANN - Step 9.mp416.89MB
  135. 4. Building an ANN/14. Building an ANN - Step 10.mp417.44MB
  136. 4. Building an ANN/2. How to get the dataset.mp46.49MB
  137. 4. Building an ANN/3. Business Problem Description.mp416.37MB
  138. 4. Building an ANN/5. Building an ANN - Step 1.mp424.29MB
  139. 4. Building an ANN/6. Building an ANN - Step 2.mp445.87MB
  140. 4. Building an ANN/7. Building an ANN - Step 3.mp48.37MB
  141. 4. Building an ANN/8. Building an ANN - Step 4.mp45.96MB
  142. 4. Building an ANN/9. Building an ANN - Step 5.mp429.58MB
  143. 5. Homework Challenge - Should we say goodbye to that customer/2. Homework Solution.mp437.63MB
  144. 6. Evaluating, Improving and Tuning the ANN/1. Evaluating the ANN.mp455.85MB
  145. 6. Evaluating, Improving and Tuning the ANN/2. Improving the ANN.mp419.83MB
  146. 6. Evaluating, Improving and Tuning the ANN/3. Tuning the ANN.mp450.77MB
  147. 9. CNN Intuition/10. Softmax & Cross-Entropy.mp433.24MB
  148. 9. CNN Intuition/2. Plan of attack.mp44.92MB
  149. 9. CNN Intuition/3. What are convolutional neural networks.mp429.5MB
  150. 9. CNN Intuition/4. Step 1 - Convolution Operation.mp431.02MB
  151. 9. CNN Intuition/5. Step 1(b) - ReLU Layer.mp414.09MB
  152. 9. CNN Intuition/6. Step 2 - Pooling.mp440.25MB
  153. 9. CNN Intuition/7. Step 3 - Flattening.mp43.28MB
  154. 9. CNN Intuition/8. Step 4 - Full Connection.mp442.74MB
  155. 9. CNN Intuition/9. Summary.mp47.92MB
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