[Tutorialsplanet.NET] Udemy - The Complete Neural Networks Bootcamp Theory, Applications

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Files
  1. 1. How Neural Networks and Backpropagation Works/1. What Can Deep Learning Do-en_US.srt 18.21KB
  2. 1. How Neural Networks and Backpropagation Works/1. What Can Deep Learning Do.mp4 156.25MB
  3. 1. How Neural Networks and Backpropagation Works/2. The Rise of Deep Learning-en_US.srt 8.12KB
  4. 1. How Neural Networks and Backpropagation Works/2. The Rise of Deep Learning.mp4 41.80MB
  5. 1. How Neural Networks and Backpropagation Works/3. The Essence of Neural Networks-en_US.srt 12.75KB
  6. 1. How Neural Networks and Backpropagation Works/3. The Essence of Neural Networks.mp4 49.99MB
  7. 1. How Neural Networks and Backpropagation Works/4. The Perceptron-en_US.srt 21.20KB
  8. 1. How Neural Networks and Backpropagation Works/4. The Perceptron.mp4 110.88MB
  9. 1. How Neural Networks and Backpropagation Works/5. Gradient Descent-en_US.srt 15.19KB
  10. 1. How Neural Networks and Backpropagation Works/5. Gradient Descent.mp4 40.60MB
  11. 1. How Neural Networks and Backpropagation Works/6. The Forward Propagation-en_US.srt 13.77KB
  12. 1. How Neural Networks and Backpropagation Works/6. The Forward Propagation.mp4 52.23MB
  13. 1. How Neural Networks and Backpropagation Works/7. Backpropagation Part 1-en_US.srt 14.16KB
  14. 1. How Neural Networks and Backpropagation Works/7. Backpropagation Part 1.mp4 29.37MB
  15. 1. How Neural Networks and Backpropagation Works/8. Backpropagation Part 2-en_US.srt 12.01KB
  16. 1. How Neural Networks and Backpropagation Works/8. Backpropagation Part 2.mp4 27.82MB
  17. 1. How Neural Networks and Backpropagation Works/BEFORE STARTING...PLEASE READ THIS.html 630B
  18. 1. How Neural Networks and Backpropagation Works/Before Proceeding with the Backpropagation.html 341B
  19. 10. Visualize the Learning Process/1. Visualize Learning Part 1-en_US.srt 12.01KB
  20. 10. Visualize the Learning Process/1. Visualize Learning Part 1.mp4 24.38MB
  21. 10. Visualize the Learning Process/2. Visualize Learning Part 2-en_US.srt 2.49KB
  22. 10. Visualize the Learning Process/2. Visualize Learning Part 2.mp4 12.21MB
  23. 10. Visualize the Learning Process/3. Visualize Learning Part 3-en_US.srt 10.34KB
  24. 10. Visualize the Learning Process/3. Visualize Learning Part 3.mp4 27.37MB
  25. 10. Visualize the Learning Process/4. Visualize Learning Part 4-en_US.srt 7.03KB
  26. 10. Visualize the Learning Process/4. Visualize Learning Part 4.mp4 20.10MB
  27. 10. Visualize the Learning Process/5. Visualize Learning Part 5-en_US.srt 14.13KB
  28. 10. Visualize the Learning Process/5. Visualize Learning Part 5.mp4 71.66MB
  29. 10. Visualize the Learning Process/6. Visualize Learning Part 6-en_US.srt 9.99KB
  30. 10. Visualize the Learning Process/6. Visualize Learning Part 6.mp4 64.39MB
  31. 10. Visualize the Learning Process/7. Neural Networks Playground-en_US.srt 6.78KB
  32. 10. Visualize the Learning Process/7. Neural Networks Playground.mp4 32.52MB
  33. 11. Implementing a Neural Network from Scratch with Numpy/1. The Dataset and Hyperparameters-en_US.srt 15.60KB
  34. 11. Implementing a Neural Network from Scratch with Numpy/1. The Dataset and Hyperparameters.mp4 70.53MB
  35. 11. Implementing a Neural Network from Scratch with Numpy/2. Understanding the Implementation-en_US.srt 10.90KB
  36. 11. Implementing a Neural Network from Scratch with Numpy/2. Understanding the Implementation.mp4 23.40MB
  37. 11. Implementing a Neural Network from Scratch with Numpy/3. Forward Propagation-en_US.srt 15.30KB
  38. 11. Implementing a Neural Network from Scratch with Numpy/3. Forward Propagation.mp4 85.20MB
  39. 11. Implementing a Neural Network from Scratch with Numpy/4. Loss Function-en_US.srt 21.05KB
  40. 11. Implementing a Neural Network from Scratch with Numpy/4. Loss Function.mp4 68.48MB
  41. 11. Implementing a Neural Network from Scratch with Numpy/5. Prediction-en_US.srt 6.92KB
  42. 11. Implementing a Neural Network from Scratch with Numpy/5. Prediction.mp4 27.71MB
  43. 11. Implementing a Neural Network from Scratch with Numpy/6. Backpropagation Equations-en_US.srt 15.95KB
  44. 11. Implementing a Neural Network from Scratch with Numpy/6. Backpropagation Equations.mp4 98.77MB
  45. 11. Implementing a Neural Network from Scratch with Numpy/7. Backpropagation-en_US.srt 27.58KB
  46. 11. Implementing a Neural Network from Scratch with Numpy/7. Backpropagation.mp4 148.09MB
  47. 11. Implementing a Neural Network from Scratch with Numpy/8. Initializing the Network-en_US.srt 8.26KB
  48. 11. Implementing a Neural Network from Scratch with Numpy/8. Initializing the Network.mp4 58.90MB
  49. 11. Implementing a Neural Network from Scratch with Numpy/9. Training the Model-en_US.srt 5.29KB
  50. 11. Implementing a Neural Network from Scratch with Numpy/9. Training the Model.mp4 47.19MB
  51. 11. Implementing a Neural Network from Scratch with Numpy/Notebook for the following Lecture.html 532B
  52. 12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/1. Code Details-en_US.srt 2.68KB
  53. 12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/1. Code Details.mp4 31.94MB
  54. 12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/2. Importing and Defining Parameters-en_US.srt 15.92KB
  55. 12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/2. Importing and Defining Parameters.mp4 142.18MB
  56. 12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/3. Defining the Network Class-en_US.srt 12.03KB
  57. 12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/3. Defining the Network Class.mp4 85.95MB
  58. 12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/4. Creating the network class and the network functions-en_US.srt 0B
  59. 12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/4. Creating the network class and the network functions.mp4 56.20MB
  60. 12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/5. Training the Network-en_US.srt 32.56KB
  61. 12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/5. Training the Network.mp4 333.24MB
  62. 12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/6. Testing the Network-en_US.srt 5.69KB
  63. 12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/6. Testing the Network.mp4 47.10MB
  64. 12. Practical Neural Networks in PyTorch - Application 2 Handwritten Digits/The MNIST Dataset.html 421B
  65. 13. Convolutional Neural Networks/1. Prerequisite Filters-en_US.srt 6.30KB
  66. 13. Convolutional Neural Networks/1. Prerequisite Filters.mp4 36.41MB
  67. 13. Convolutional Neural Networks/10. Important formulas-en_US.srt 6.83KB
  68. 13. Convolutional Neural Networks/10. Important formulas.mp4 13.38MB
  69. 13. Convolutional Neural Networks/11. CNN Characteristics-en_US.srt 10.78KB
  70. 13. Convolutional Neural Networks/11. CNN Characteristics.mp4 45.88MB
  71. 13. Convolutional Neural Networks/12. Regularization and Batch Normalization in CNNs-en_US.srt 4.73KB
  72. 13. Convolutional Neural Networks/12. Regularization and Batch Normalization in CNNs.mp4 18.19MB
  73. 13. Convolutional Neural Networks/13. DropBlock Dropout in CNNs-en_US.srt 15.43KB
  74. 13. Convolutional Neural Networks/13. DropBlock Dropout in CNNs.mp4 99.51MB
  75. 13. Convolutional Neural Networks/14. Softmax with Temperature-en_US.srt 12.56KB
  76. 13. Convolutional Neural Networks/14. Softmax with Temperature.mp4 27.35MB
  77. 13. Convolutional Neural Networks/2. Introduction to Convolutional Networks and the need for them-en_US.srt 9.22KB
  78. 13. Convolutional Neural Networks/2. Introduction to Convolutional Networks and the need for them.mp4 25.12MB
  79. 13. Convolutional Neural Networks/3. Filters and Features-en_US.srt 12.21KB
  80. 13. Convolutional Neural Networks/3. Filters and Features.mp4 51.93MB
  81. 13. Convolutional Neural Networks/4. Convolution over Volume Animation-en_US.srt 4.54KB
  82. 13. Convolutional Neural Networks/4. Convolution over Volume Animation.mp4 21.31MB
  83. 13. Convolutional Neural Networks/5. More on Convolutions-en_US.srt 8.67KB
  84. 13. Convolutional Neural Networks/5. More on Convolutions.mp4 29.98MB
  85. 13. Convolutional Neural Networks/6. Quiz Solution Discussion-en_US.srt 4.50KB
  86. 13. Convolutional Neural Networks/6. Quiz Solution Discussion.mp4 5.87MB
  87. 13. Convolutional Neural Networks/7. A Tool for Convolution Visualization-en_US.srt 5.98KB
  88. 13. Convolutional Neural Networks/7. A Tool for Convolution Visualization.mp4 27.97MB
  89. 13. Convolutional Neural Networks/8. Activation, Pooling and FC-en_US.srt 16.85KB
  90. 13. Convolutional Neural Networks/8. Activation, Pooling and FC.mp4 80.68MB
  91. 13. Convolutional Neural Networks/9. CNN Visualization-en_US.srt 2.73KB
  92. 13. Convolutional Neural Networks/9. CNN Visualization.mp4 15.41MB
  93. 13. Convolutional Neural Networks/Convolution over Volume Animation Resource.html 321B
  94. 14. Practical Convolutional Networks in PyTorch - Image Classification/1. Loading and Normalizing the Dataset-en_US.srt 15.96KB
  95. 14. Practical Convolutional Networks in PyTorch - Image Classification/1. Loading and Normalizing the Dataset.mp4 52.57MB
  96. 14. Practical Convolutional Networks in PyTorch - Image Classification/10. Classifying your own Handwritten images-en_US.srt 15.29KB
  97. 14. Practical Convolutional Networks in PyTorch - Image Classification/10. Classifying your own Handwritten images.mp4 55.66MB
  98. 14. Practical Convolutional Networks in PyTorch - Image Classification/2. Visualizing and Loading the Dataset-en_US.srt 12.37KB
  99. 14. Practical Convolutional Networks in PyTorch - Image Classification/2. Visualizing and Loading the Dataset.mp4 60.74MB
  100. 14. Practical Convolutional Networks in PyTorch - Image Classification/3. Building the CNN-en_US.srt 31.83KB
  101. 14. Practical Convolutional Networks in PyTorch - Image Classification/3. Building the CNN.mp4 251.43MB
  102. 14. Practical Convolutional Networks in PyTorch - Image Classification/4. Defining the Model-en_US.srt 5.57KB
  103. 14. Practical Convolutional Networks in PyTorch - Image Classification/4. Defining the Model.mp4 18.68MB
  104. 14. Practical Convolutional Networks in PyTorch - Image Classification/5. Understanding the Propagation-en_US.srt 7.65KB
  105. 14. Practical Convolutional Networks in PyTorch - Image Classification/5. Understanding the Propagation.mp4 26.19MB
  106. 14. Practical Convolutional Networks in PyTorch - Image Classification/6. Training the CNN-en_US.srt 20.82KB
  107. 14. Practical Convolutional Networks in PyTorch - Image Classification/6. Training the CNN.mp4 131.06MB
  108. 14. Practical Convolutional Networks in PyTorch - Image Classification/7. Testing the CNN-en_US.srt 8.84KB
  109. 14. Practical Convolutional Networks in PyTorch - Image Classification/7. Testing the CNN.mp4 35.82MB
  110. 14. Practical Convolutional Networks in PyTorch - Image Classification/8. Plotting and Putting into Action-en_US.srt 6.37KB
  111. 14. Practical Convolutional Networks in PyTorch - Image Classification/8. Plotting and Putting into Action.mp4 45.32MB
  112. 14. Practical Convolutional Networks in PyTorch - Image Classification/9. Predicting an image-en_US.srt 6.35KB
  113. 14. Practical Convolutional Networks in PyTorch - Image Classification/9. Predicting an image.mp4 17.46MB
  114. 15. CNN Architectures/1. CNN Architectures Part 1-en_US.srt 15.19KB
  115. 15. CNN Architectures/1. CNN Architectures Part 1.mp4 43.87MB
  116. 15. CNN Architectures/2. Residual Networks Part 1-en_US.srt 14.13KB
  117. 15. CNN Architectures/2. Residual Networks Part 1.mp4 122.27MB
  118. 15. CNN Architectures/3. Residual Networks Part 2-en_US.srt 23.05KB
  119. 15. CNN Architectures/3. Residual Networks Part 2.mp4 151.37MB
  120. 15. CNN Architectures/4. CNN Architectures Part 2-en_US.srt 4.63KB
  121. 15. CNN Architectures/4. CNN Architectures Part 2.mp4 13.38MB
  122. 15. CNN Architectures/5. Densely Connected Networks-en_US.srt 17.86KB
  123. 15. CNN Architectures/5. Densely Connected Networks.mp4 95.14MB
  124. 15. CNN Architectures/6. Squeeze-Excite Networks-en_US.srt 13.19KB
  125. 15. CNN Architectures/6. Squeeze-Excite Networks.mp4 39.60MB
  126. 15. CNN Architectures/7. Seperable Convolutions-en_US.srt 14.85KB
  127. 15. CNN Architectures/7. Seperable Convolutions.mp4 60.51MB
  128. 15. CNN Architectures/8. Transfer Learning-en_US.srt 11.55KB
  129. 15. CNN Architectures/8. Transfer Learning.mp4 29.24MB
  130. 15. CNN Architectures/Note on Residual Networks Implementation.html 109B
  131. 16. Practical Residual Networks in PyTorch/1. Practical ResNet Part 1-en_US.srt 15.96KB
  132. 16. Practical Residual Networks in PyTorch/1. Practical ResNet Part 1.mp4 71.51MB
  133. 16. Practical Residual Networks in PyTorch/2. Practical ResNet Part 2-en_US.srt 16.04KB
  134. 16. Practical Residual Networks in PyTorch/2. Practical ResNet Part 2.mp4 85.73MB
  135. 16. Practical Residual Networks in PyTorch/3. Practical ResNet Part 3-en_US.srt 15.57KB
  136. 16. Practical Residual Networks in PyTorch/3. Practical ResNet Part 3.mp4 103.17MB
  137. 16. Practical Residual Networks in PyTorch/4. Practical ResNet Part 4-en_US.srt 16.97KB
  138. 16. Practical Residual Networks in PyTorch/4. Practical ResNet Part 4.mp4 143.28MB
  139. 17. Transposed Convolutions/1. Introduction to Transposed Convolutions-en_US.srt 8.95KB
  140. 17. Transposed Convolutions/1. Introduction to Transposed Convolutions.mp4 30.98MB
  141. 17. Transposed Convolutions/2. Convolution Operation as Matrix Multiplication-en_US.srt 11.18KB
  142. 17. Transposed Convolutions/2. Convolution Operation as Matrix Multiplication.mp4 70.98MB
  143. 17. Transposed Convolutions/3. Transposed Convolutions-en_US.srt 8.33KB
  144. 17. Transposed Convolutions/3. Transposed Convolutions.mp4 36.09MB
  145. 18. Transfer Learning in PyTorch - Image Classification/1. Data Augmentation-en_US.srt 15.47KB
  146. 18. Transfer Learning in PyTorch - Image Classification/1. Data Augmentation.mp4 224.61MB
  147. 18. Transfer Learning in PyTorch - Image Classification/2. External URLs.txt 70B
  148. 18. Transfer Learning in PyTorch - Image Classification/2. Loading the Dataset-en_US.srt 14.10KB
  149. 18. Transfer Learning in PyTorch - Image Classification/2. Loading the Dataset.mp4 177.38MB
  150. 18. Transfer Learning in PyTorch - Image Classification/3. Modifying the Network-en_US.srt 10.79KB
  151. 18. Transfer Learning in PyTorch - Image Classification/3. Modifying the Network.mp4 96.99MB
  152. 18. Transfer Learning in PyTorch - Image Classification/4. Understanding the data-en_US.srt 14.59KB
  153. 18. Transfer Learning in PyTorch - Image Classification/4. Understanding the data.mp4 101.76MB
  154. 18. Transfer Learning in PyTorch - Image Classification/5. Finetuning the Network-en_US.srt 6.79KB
  155. 18. Transfer Learning in PyTorch - Image Classification/5. Finetuning the Network.mp4 50.02MB
  156. 18. Transfer Learning in PyTorch - Image Classification/6. Testing and Visualizing the results-en_US.srt 12.96KB
  157. 18. Transfer Learning in PyTorch - Image Classification/6. Testing and Visualizing the results.mp4 118.43MB
  158. 18. Transfer Learning in PyTorch - Image Classification/[Tutorialsplanet.NET].url 128B
  159. 19. Convolutional Networks Visualization/1. Data and the Model-en_US.srt 10.10KB
  160. 19. Convolutional Networks Visualization/1. Data and the Model.mp4 74.39MB
  161. 19. Convolutional Networks Visualization/2. Processing the Model-en_US.srt 17.53KB
  162. 19. Convolutional Networks Visualization/2. Processing the Model.mp4 142.48MB
  163. 19. Convolutional Networks Visualization/3. Visualizing the Feature Maps-en_US.srt 16.38KB
  164. 19. Convolutional Networks Visualization/3. Visualizing the Feature Maps.mp4 133.26MB
  165. 19. Convolutional Networks Visualization/dog.jpg 93.28KB
  166. 19. Convolutional Networks Visualization/imagenet-class-index.json 34.53KB
  167. 2. Loss Functions/1. Mean Squared Error (MSE)-en_US.srt 9.21KB
  168. 2. Loss Functions/1. Mean Squared Error (MSE).mp4 19.82MB
  169. 2. Loss Functions/10. Triplet Ranking Loss-en_US.srt 16.43KB
  170. 2. Loss Functions/10. Triplet Ranking Loss.mp4 125.70MB
  171. 2. Loss Functions/2. L1 Loss (MAE)-en_US.srt 10.96KB
  172. 2. Loss Functions/2. L1 Loss (MAE).mp4 77.21MB
  173. 2. Loss Functions/3. Huber Loss-en_US.srt 8.22KB
  174. 2. Loss Functions/3. Huber Loss.mp4 28.65MB
  175. 2. Loss Functions/4. Binary Cross Entropy Loss-en_US.srt 17.16KB
  176. 2. Loss Functions/4. Binary Cross Entropy Loss.mp4 44.94MB
  177. 2. Loss Functions/5. Cross Entropy Loss-en_US.srt 10.76KB
  178. 2. Loss Functions/5. Cross Entropy Loss.mp4 24.66MB
  179. 2. Loss Functions/6. Softmax Function-en_US.srt 9.84KB
  180. 2. Loss Functions/6. Softmax Function.mp4 44.73MB
  181. 2. Loss Functions/7. KL divergence Loss-en_US.srt 9.58KB
  182. 2. Loss Functions/7. KL divergence Loss.mp4 25.40MB
  183. 2. Loss Functions/8. Contrastive Loss-en_US.srt 15.96KB
  184. 2. Loss Functions/8. Contrastive Loss.mp4 62.66MB
  185. 2. Loss Functions/9. Hinge Loss-en_US.srt 16.52KB
  186. 2. Loss Functions/9. Hinge Loss.mp4 67.43MB
  187. 2. Loss Functions/Practical Loss Functions Note.html 179B
  188. 2. Loss Functions/Softmax with Temperature Controlling your distribution.html 394B
  189. 2. Loss Functions/[Tutorialsplanet.NET].url 128B
  190. 20. YOLO Object Detection (Theory)/1. YOLO Theory Part 1-en_US.srt 6.75KB
  191. 20. YOLO Object Detection (Theory)/1. YOLO Theory Part 1.mp4 133.82MB
  192. 20. YOLO Object Detection (Theory)/10. YOLO Theory Part 10-en_US.srt 2.86KB
  193. 20. YOLO Object Detection (Theory)/10. YOLO Theory Part 10.mp4 25.29MB
  194. 20. YOLO Object Detection (Theory)/11. YOLO Theory Part 11-en_US.srt 7.44KB
  195. 20. YOLO Object Detection (Theory)/11. YOLO Theory Part 11.mp4 52.80MB
  196. 20. YOLO Object Detection (Theory)/12. YOLO Theory Part 12-en_US.srt 13.31KB
  197. 20. YOLO Object Detection (Theory)/12. YOLO Theory Part 12.mp4 58.28MB
  198. 20. YOLO Object Detection (Theory)/2. YOLO Theory Part 2-en_US.srt 16.11KB
  199. 20. YOLO Object Detection (Theory)/2. YOLO Theory Part 2.mp4 80.65MB
  200. 20. YOLO Object Detection (Theory)/3. YOLO Theory Part 3-en_US.srt 12.26KB
  201. 20. YOLO Object Detection (Theory)/3. YOLO Theory Part 3.mp4 123.91MB
  202. 20. YOLO Object Detection (Theory)/4. YOLO Theory Part 4-en_US.srt 8.65KB
  203. 20. YOLO Object Detection (Theory)/4. YOLO Theory Part 4.mp4 25.77MB
  204. 20. YOLO Object Detection (Theory)/5. YOLO Theory Part 5-en_US.srt 10.26KB
  205. 20. YOLO Object Detection (Theory)/5. YOLO Theory Part 5.mp4 104.97MB
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  207. 20. YOLO Object Detection (Theory)/6. YOLO Theory Part 6.mp4 123.77MB
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  209. 20. YOLO Object Detection (Theory)/7. YOLO Theory Part 7.mp4 69.72MB
  210. 20. YOLO Object Detection (Theory)/8. YOLO Theory Part 8-en_US.srt 7.06KB
  211. 20. YOLO Object Detection (Theory)/8. YOLO Theory Part 8.mp4 77.19MB
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  213. 20. YOLO Object Detection (Theory)/9. YOLO Theory Part 9.mp4 17.69MB
  214. 20. YOLO Object Detection (Theory)/YOLO Code Note.html 1.40KB
  215. 21. Autoencoders and Variational Autoencoders/1. Autoencoders-en_US.srt 11.80KB
  216. 21. Autoencoders and Variational Autoencoders/1. Autoencoders.mp4 42.08MB
  217. 21. Autoencoders and Variational Autoencoders/2. Denoising Autoencoders-en_US.srt 9.27KB
  218. 21. Autoencoders and Variational Autoencoders/2. Denoising Autoencoders.mp4 30.00MB
  219. 21. Autoencoders and Variational Autoencoders/3. The Problem in Autoencoders-en_US.srt 6.43KB
  220. 21. Autoencoders and Variational Autoencoders/3. The Problem in Autoencoders.mp4 13.42MB
  221. 21. Autoencoders and Variational Autoencoders/4. Variational Autoencoders-en_US.srt 13.86KB
  222. 21. Autoencoders and Variational Autoencoders/4. Variational Autoencoders.mp4 70.20MB
  223. 21. Autoencoders and Variational Autoencoders/5. Probability Distributions Recap-en_US.srt 42.49KB
  224. 21. Autoencoders and Variational Autoencoders/5. Probability Distributions Recap.mp4 259.26MB
  225. 21. Autoencoders and Variational Autoencoders/6. Loss Function Derivation for VAE-en_US.srt 37.35KB
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  228. 21. Autoencoders and Variational Autoencoders/7. Deep Fake.mp4 85.25MB
  229. 22. Practical Variational Autoencoders in PyTorch/1. Practical VAE Part 1-en_US.srt 25.48KB
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  233. 22. Practical Variational Autoencoders in PyTorch/3. Practical VAE Part 3-en_US.srt 15.32KB
  234. 22. Practical Variational Autoencoders in PyTorch/3. Practical VAE Part 3.mp4 93.22MB
  235. 23. Neural Style Transfer/1. NST Theory Part 1-en_US.srt 9.19KB
  236. 23. Neural Style Transfer/1. NST Theory Part 1.mp4 52.53MB
  237. 23. Neural Style Transfer/2. NST Theory Part 2-en_US.srt 7.90KB
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  239. 23. Neural Style Transfer/3. NST Theory Part 3-en_US.srt 13.50KB
  240. 23. Neural Style Transfer/3. NST Theory Part 3.mp4 69.11MB
  241. 24. Practical Neural Style Transfer in PyTorch/1. NST Practical Part 1-en_US.srt 13.93KB
  242. 24. Practical Neural Style Transfer in PyTorch/1. NST Practical Part 1.mp4 63.78MB
  243. 24. Practical Neural Style Transfer in PyTorch/2. NST Practical Part 2-en_US.srt 12.48KB
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