589689.xyz

[] Udemy - Modern Deep Learning in Python

  • 收录时间:2022-04-29 16:44:00
  • 文件大小:4GB
  • 下载次数:1
  • 最近下载:2022-04-29 16:44:00
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 18. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 309MB
  2. 9. GPU Speedup, Homework, and Other Misc Topics/2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 236MB
  3. 18. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 192MB
  4. 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 136MB
  5. 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 135MB
  6. 2. Review/6. Review Code (pt 2).mp4 127MB
  7. 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2).mp4 111MB
  8. 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 108MB
  9. 9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4 102MB
  10. 11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4 97MB
  11. 11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4 96MB
  12. 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 94MB
  13. 15. PyTorch/1. PyTorch Basics.mp4 84MB
  14. 13. Batch Normalization/7. Batch Normalization Theano (part 2).mp4 76MB
  15. 5. Choosing Hyperparameters/3. Grid Search in Code.mp4 68MB
  16. 13. Batch Normalization/5. Batch Normalization Tensorflow (part 2).mp4 67MB
  17. 7. Theano/1. Theano Basics Variables, Functions, Expressions, Optimization.mp4 65MB
  18. 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 60MB
  19. 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory).mp4 58MB
  20. 4. Momentum and adaptive learning rates/6. Adam Optimization (pt 1).mp4 55MB
  21. 13. Batch Normalization/3. Batch Normalization Theory.mp4 54MB
  22. 4. Momentum and adaptive learning rates/7. Adam Optimization (pt 2).mp4 53MB
  23. 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/3. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 1).mp4 52MB
  24. 1. Introduction and Outline/1. Introduction and Outline.mp4 52MB
  25. 7. Theano/2. Building a neural network in Theano.mp4 50MB
  26. 14. Keras/2. Keras in Code.mp4 49MB
  27. 12. Modern Regularization Techniques/2. Dropout Regularization.mp4 49MB
  28. 1. Introduction and Outline/3. How to Succeed in this Course.mp4 47MB
  29. 8. TensorFlow/2. Building a neural network in TensorFlow.mp4 43MB
  30. 2. Review/1. Review (pt 1) Neuron Predictions.mp4 40MB
  31. 8. TensorFlow/1. TensorFlow Basics Variables, Functions, Expressions, Optimization.mp4 39MB
  32. 5. Choosing Hyperparameters/5. Random Search in Code.mp4 39MB
  33. 4. Momentum and adaptive learning rates/3. Momentum in Code.mp4 38MB
  34. 21. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 38MB
  35. 15. PyTorch/3. PyTorch Batch Norm.mp4 37MB
  36. 15. PyTorch/2. PyTorch Dropout.mp4 36MB
  37. 2. Review/3. Review (pt 3) Artificial Neural Networks.mp4 34MB
  38. 11. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 34MB
  39. 2. Review/4. Review Exercise Prompt.mp4 32MB
  40. 9. GPU Speedup, Homework, and Other Misc Topics/5. How to Improve your Theano and Tensorflow Skills.mp4 32MB
  41. 8. TensorFlow/3. What is a Session (And more).mp4 31MB
  42. 4. Momentum and adaptive learning rates/8. Adam in Code.mp4 30MB
  43. 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4 29MB
  44. 14. Keras/3. Keras Functional API.mp4 29MB
  45. 17. Deep Learning Review Topics/1. What's the difference between neural networks and deep learning.mp4 27MB
  46. 11. Project Facial Expression Recognition/4. Utilities walkthrough.mp4 26MB
  47. 2. Review/5. Review Code (pt 1).mp4 26MB
  48. 4. Momentum and adaptive learning rates/1. Using Momentum to Speed Up Training.mp4 26MB
  49. 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4 25MB
  50. 4. Momentum and adaptive learning rates/5. Constant learning rate vs. RMSProp in Code.mp4 24MB
  51. 4. Momentum and adaptive learning rates/4. Variable and adaptive learning rates.mp4 23MB
  52. 7. Theano/3. Is Theano Dead.mp4 23MB
  53. 2. Review/2. Review (pt 2) Neuron Learning.mp4 22MB
  54. 4. Momentum and adaptive learning rates/9. Suggestion Box.mp4 19MB
  55. 1. Introduction and Outline/2. Where to get the Code.mp4 17MB
  56. 9. GPU Speedup, Homework, and Other Misc Topics/6. Theano vs. TensorFlow.mp4 16MB
  57. 11. Project Facial Expression Recognition/3. The class imbalance problem.mp4 16MB
  58. 14. Keras/1. Keras Discussion.mp4 15MB
  59. 6. Weight Initialization/3. Weight Initialization.mp4 15MB
  60. 12. Modern Regularization Techniques/4. Noise Injection.mp4 15MB
  61. 6. Weight Initialization/2. Vanishing and Exploding Gradients.mp4 13MB
  62. 10. Transition to the 2nd Half of the Course/1. Transition to the 2nd Half of the Course.mp4 13MB
  63. 4. Momentum and adaptive learning rates/2. Nesterov Momentum.mp4 13MB
  64. 11. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4 13MB
  65. 13. Batch Normalization/4. Batch Normalization Tensorflow (part 1).mp4 11MB
  66. 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. Python 2 vs Python 3.mp4 10MB
  67. 17. Deep Learning Review Topics/2. Manually Choosing Learning Rate and Regularization Penalty.mp4 10MB
  68. 13. Batch Normalization/6. Batch Normalization Theano (part 1).mp4 10MB
  69. 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/2. SGD Exercise Prompt.mp4 10MB
  70. 9. GPU Speedup, Homework, and Other Misc Topics/3. Can Big Data be used to Speed Up Backpropagation.mp4 9MB
  71. 12. Modern Regularization Techniques/3. Dropout Intuition.mp4 9MB
  72. 21. Appendix FAQ Finale/1. What is the Appendix.mp4 9MB
  73. 9. GPU Speedup, Homework, and Other Misc Topics/4. Exercises and Concepts Still to be Covered.mp4 9MB
  74. 6. Weight Initialization/4. Local vs. Global Minima.mp4 8MB
  75. 13. Batch Normalization/2. Exponentially-Smoothed Averages.mp4 8MB
  76. 12. Modern Regularization Techniques/1. Modern Regularization Techniques Section Introduction.mp4 8MB
  77. 5. Choosing Hyperparameters/1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4 8MB
  78. 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. How to Uncompress a .tar.gz file.mp4 6MB
  79. 14. Keras/4. How to easily convert Keras into Tensorflow 2.0 code.mp4 6MB
  80. 12. Modern Regularization Techniques/5. Modern Regularization Techniques Section Summary.mp4 5MB
  81. 5. Choosing Hyperparameters/2. Sampling Logarithmically.mp4 5MB
  82. 2. Review/7. Review Summary.mp4 4MB
  83. 11. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.mp4 4MB
  84. 13. Batch Normalization/1. Batch Normalization Introduction.mp4 3MB
  85. 6. Weight Initialization/5. Weight Initialization Section Summary.mp4 3MB
  86. 13. Batch Normalization/8. Noise Perspective.mp4 3MB
  87. 13. Batch Normalization/9. Batch Normalization Summary.mp4 3MB
  88. 5. Choosing Hyperparameters/4. Modifying Grid Search.mp4 2MB
  89. 16. PyTorch, CNTK, and MXNet/1. PyTorch, CNTK, and MXNet.mp4 2MB
  90. 6. Weight Initialization/1. Weight Initialization Section Introduction.mp4 2MB
  91. 9. GPU Speedup, Homework, and Other Misc Topics/2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer-en_US.srt 31KB
  92. 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced-en_US.srt 31KB
  93. 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-en_US.srt 23KB
  94. 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-en_US.srt 22KB
  95. 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory)-en_US.srt 20KB
  96. 18. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-en_US.srt 19KB
  97. 8. TensorFlow/3. What is a Session (And more)-en_US.srt 18KB
  98. 2. Review/1. Review (pt 1) Neuron Predictions-en_US.srt 17KB
  99. 4. Momentum and adaptive learning rates/6. Adam Optimization (pt 1)-en_US.srt 16KB
  100. 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-en_US.srt 16KB
  101. 2. Review/6. Review Code (pt 2)-en_US.srt 15KB
  102. 11. Project Facial Expression Recognition/5. Class-Based ANN in Theano-en_US.srt 15KB
  103. 11. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description-en_US.srt 15KB
  104. 4. Momentum and adaptive learning rates/4. Variable and adaptive learning rates-en_US.srt 15KB
  105. 2. Review/3. Review (pt 3) Artificial Neural Networks-en_US.srt 14KB
  106. 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2)-en_US.srt 14KB
  107. 15. PyTorch/1. PyTorch Basics-en_US.srt 14KB
  108. 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-en_US.srt 14KB
  109. 12. Modern Regularization Techniques/2. Dropout Regularization-en_US.srt 14KB
  110. 4. Momentum and adaptive learning rates/7. Adam Optimization (pt 2)-en_US.srt 14KB
  111. 18. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-en_US.srt 14KB
  112. 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it-en_US.srt 13KB
  113. 13. Batch Normalization/3. Batch Normalization Theory-en_US.srt 13KB
  114. 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/3. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 1)-en_US.srt 13KB
  115. 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-en_US.srt 13KB
  116. 7. Theano/3. Is Theano Dead-en_US.srt 13KB
  117. 1. Introduction and Outline/1. Introduction and Outline-en_US.srt 12KB
  118. 11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow-en_US.srt 12KB
  119. 2. Review/2. Review (pt 2) Neuron Learning-en_US.srt 12KB
  120. 6. Weight Initialization/3. Weight Initialization-en_US.srt 10KB
  121. 17. Deep Learning Review Topics/1. What's the difference between neural networks and deep learning-en_US.srt 10KB
  122. 5. Choosing Hyperparameters/3. Grid Search in Code-en_US.srt 9KB
  123. 14. Keras/1. Keras Discussion-en_US.srt 9KB
  124. 9. GPU Speedup, Homework, and Other Misc Topics/6. Theano vs. TensorFlow-en_US.srt 8KB
  125. 1. Introduction and Outline/3. How to Succeed in this Course-en_US.srt 8KB
  126. 6. Weight Initialization/2. Vanishing and Exploding Gradients-en_US.srt 8KB
  127. 13. Batch Normalization/7. Batch Normalization Theano (part 2)-en_US.srt 8KB
  128. 4. Momentum and adaptive learning rates/1. Using Momentum to Speed Up Training-en_US.srt 8KB
  129. 21. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material-en_US.srt 8KB
  130. 11. Project Facial Expression Recognition/3. The class imbalance problem-en_US.srt 7KB
  131. 2. Review/4. Review Exercise Prompt-en_US.srt 7KB
  132. 4. Momentum and adaptive learning rates/2. Nesterov Momentum-en_US.srt 7KB
  133. 14. Keras/2. Keras in Code-en_US.srt 7KB
  134. 1. Introduction and Outline/2. Where to get the Code-en_US.srt 7KB
  135. 7. Theano/1. Theano Basics Variables, Functions, Expressions, Optimization-en_US.srt 7KB
  136. 2. Review/5. Review Code (pt 1)-en_US.srt 7KB
  137. 12. Modern Regularization Techniques/4. Noise Injection-en_US.srt 7KB
  138. 10. Transition to the 2nd Half of the Course/1. Transition to the 2nd Half of the Course-en_US.srt 6KB
  139. 4. Momentum and adaptive learning rates/8. Adam in Code-en_US.srt 6KB
  140. 11. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction-en_US.srt 6KB
  141. 13. Batch Normalization/4. Batch Normalization Tensorflow (part 1)-en_US.srt 6KB
  142. 13. Batch Normalization/5. Batch Normalization Tensorflow (part 2)-en_US.srt 6KB
  143. 4. Momentum and adaptive learning rates/3. Momentum in Code-en_US.srt 6KB
  144. 9. GPU Speedup, Homework, and Other Misc Topics/5. How to Improve your Theano and Tensorflow Skills-en_US.srt 6KB
  145. 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. Python 2 vs Python 3-en_US.srt 6KB
  146. 8. TensorFlow/2. Building a neural network in TensorFlow-en_US.srt 6KB
  147. 8. TensorFlow/1. TensorFlow Basics Variables, Functions, Expressions, Optimization-en_US.srt 6KB
  148. 11. Project Facial Expression Recognition/4. Utilities walkthrough-en_US.srt 5KB
  149. 17. Deep Learning Review Topics/2. Manually Choosing Learning Rate and Regularization Penalty-en_US.srt 5KB
  150. 13. Batch Normalization/2. Exponentially-Smoothed Averages-en_US.srt 5KB
  151. 13. Batch Normalization/6. Batch Normalization Theano (part 1)-en_US.srt 5KB
  152. 14. Keras/3. Keras Functional API-en_US.srt 5KB
  153. 5. Choosing Hyperparameters/1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search-en_US.srt 5KB
  154. 5. Choosing Hyperparameters/5. Random Search in Code-en_US.srt 5KB
  155. 4. Momentum and adaptive learning rates/9. Suggestion Box-en_US.srt 5KB
  156. 12. Modern Regularization Techniques/3. Dropout Intuition-en_US.srt 4KB
  157. 9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services-en_US.srt 4KB
  158. 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/2. SGD Exercise Prompt-en_US.srt 4KB
  159. 9. GPU Speedup, Homework, and Other Misc Topics/3. Can Big Data be used to Speed Up Backpropagation-en_US.srt 4KB
  160. 4. Momentum and adaptive learning rates/5. Constant learning rate vs. RMSProp in Code-en_US.srt 4KB
  161. 5. Choosing Hyperparameters/2. Sampling Logarithmically-en_US.srt 4KB
  162. 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. How to Uncompress a .tar.gz file-en_US.srt 4KB
  163. 7. Theano/2. Building a neural network in Theano-en_US.srt 4KB
  164. 21. Appendix FAQ Finale/1. What is the Appendix-en_US.srt 4KB
  165. 6. Weight Initialization/4. Local vs. Global Minima-en_US.srt 3KB
  166. 15. PyTorch/2. PyTorch Dropout-en_US.srt 3KB
  167. 15. PyTorch/3. PyTorch Batch Norm-en_US.srt 3KB
  168. 12. Modern Regularization Techniques/1. Modern Regularization Techniques Section Introduction-en_US.srt 3KB
  169. 9. GPU Speedup, Homework, and Other Misc Topics/4. Exercises and Concepts Still to be Covered-en_US.srt 3KB
  170. 12. Modern Regularization Techniques/5. Modern Regularization Techniques Section Summary-en_US.srt 3KB
  171. 13. Batch Normalization/1. Batch Normalization Introduction-en_US.srt 2KB
  172. 13. Batch Normalization/8. Noise Perspective-en_US.srt 2KB
  173. 6. Weight Initialization/5. Weight Initialization Section Summary-en_US.srt 2KB
  174. 13. Batch Normalization/9. Batch Normalization Summary-en_US.srt 2KB
  175. 14. Keras/4. How to easily convert Keras into Tensorflow 2.0 code-en_US.srt 2KB
  176. 5. Choosing Hyperparameters/4. Modifying Grid Search-en_US.srt 2KB
  177. 11. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary-en_US.srt 2KB
  178. 2. Review/7. Review Summary-en_US.srt 1KB
  179. 6. Weight Initialization/1. Weight Initialization Section Introduction-en_US.srt 1KB
  180. 16. PyTorch, CNTK, and MXNet/1. PyTorch, CNTK, and MXNet-en_US.srt 1KB
  181. 14. Keras/[Tutorialsplanet.NET].url 128B
  182. 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/[Tutorialsplanet.NET].url 128B
  183. 2. Review/[Tutorialsplanet.NET].url 128B
  184. 7. Theano/[Tutorialsplanet.NET].url 128B
  185. [Tutorialsplanet.NET].url 128B
  186. 1. Introduction and Outline/2. External URLs.txt 75B