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PyTorch-Deep Learning and Artificial Intelligence [updated]

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文件列表

  1. PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 181MB
  2. PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 167MB
  3. PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 151MB
  4. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 114MB
  5. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 108MB
  6. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 106MB
  7. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 106MB
  8. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 105MB
  9. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 93MB
  10. PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 92MB
  11. PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/2. Uploading your own data to Google Colab.mp4 91MB
  12. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/5. CNN Architecture.mp4 90MB
  13. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 89MB
  14. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 87MB
  15. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 81MB
  16. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 80MB
  17. PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/2. Overview and Outline.mp4 80MB
  18. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 80MB
  19. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 80MB
  20. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 79MB
  21. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/9. Classification Notebook.mp4 78MB
  22. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/14. Stock Return Predictions using LSTMs (pt 1).mp4 78MB
  23. PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).mp4 78MB
  24. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/13. Improving CIFAR-10 Results.mp4 77MB
  25. PyTorch - Deep Learning and Artificial Intelligence/8. Recommender Systems/4. Recommender Systems with Deep Learning Code (pt 2).mp4 77MB
  26. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/6. CNN Code Preparation (part 1).mp4 77MB
  27. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/4. Convolution on Color Images.mp4 76MB
  28. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 76MB
  29. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/6. How to Represent Images.mp4 75MB
  30. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/9. CNN for Fashion MNIST.mp4 74MB
  31. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/2. Regression Basics.mp4 73MB
  32. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/4. Regression Notebook.mp4 72MB
  33. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/3. How to Code Yourself (part 1).mp4 72MB
  34. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 72MB
  35. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/16. Stock Return Predictions using LSTMs (pt 3).mp4 71MB
  36. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/1. What is Machine Learning.mp4 71MB
  37. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/6. Code pt 2.mp4 70MB
  38. PyTorch - Deep Learning and Artificial Intelligence/8. Recommender Systems/3. Recommender Systems with Deep Learning Code (pt 1).mp4 70MB
  39. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/5. Proof that using Jupyter Notebook is the same as not using it.mp4 70MB
  40. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/7. Code Preparation (ANN).mp4 68MB
  41. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/7. Linear Classification Basics.mp4 67MB
  42. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/11. Q-Learning.mp4 67MB
  43. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/5. Code pt 1.mp4 66MB
  44. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/6. Text Classification with LSTMs.mp4 65MB
  45. PyTorch - Deep Learning and Artificial Intelligence/8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp4 65MB
  46. PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/3. GAN Code.mp4 61MB
  47. PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4 60MB
  48. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).mp4 60MB
  49. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/1. Embeddings.mp4 60MB
  50. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/7. CNNs for Text.mp4 59MB
  51. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.mp4 59MB
  52. PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/1. Transfer Learning Theory.mp4 58MB
  53. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 57MB
  54. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/10. CNN for CIFAR-10.mp4 57MB
  55. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/3. The Geometrical Picture.mp4 56MB
  56. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.mp4 56MB
  57. PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/6. Transfer Learning Code (pt 2).mp4 56MB
  58. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.mp4 56MB
  59. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/6. RNN Code Preparation.mp4 55MB
  60. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/8. Code pt 4.mp4 52MB
  61. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/3. Text Preprocessing (pt 1).mp4 52MB
  62. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).mp4 52MB
  63. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/14. Train Sets vs. Validation Sets vs. Test Sets.mp4 52MB
  64. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/9. Accuracy and imbalanced classes.mp4 51MB
  65. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2).mp4 51MB
  66. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/2. Siamese Networks.mp4 51MB
  67. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/4. Markov Decision Processes (MDPs).mp4 51MB
  68. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/12. How does a model learn.mp4 50MB
  69. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/4. How to Code Yourself (part 2).mp4 49MB
  70. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/9. VIP Making Predictions with a Trained NLP Model.mp4 49MB
  71. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/2. Forecasting.mp4 49MB
  72. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/5. Multiclass Classification.mp4 49MB
  73. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/5. Text Preprocessing (pt 3).mp4 48MB
  74. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/6. Value Functions and the Bellman Equation.mp4 48MB
  75. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/2. Forward Propagation.mp4 47MB
  76. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/3. Regression Code Preparation.mp4 46MB
  77. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/11. A Short Neuroscience Primer.mp4 45MB
  78. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/11. Data Augmentation.mp4 45MB
  79. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/4. Text Preprocessing (pt 2).mp4 44MB
  80. PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/3. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4 44MB
  81. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/3. States, Actions, Rewards, Policies.mp4 44MB
  82. PyTorch - Deep Learning and Artificial Intelligence/13. VIP Uncertainty Estimation/1. Custom Loss and Estimating Prediction Uncertainty.mp4 44MB
  83. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 2).mp4 43MB
  84. PyTorch - Deep Learning and Artificial Intelligence/13. VIP Uncertainty Estimation/2. Estimating Prediction Uncertainty Code.mp4 43MB
  85. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4 43MB
  86. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/10. Epsilon-Greedy.mp4 41MB
  87. PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/3. Large Datasets.mp4 41MB
  88. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/1. Deep Reinforcement Learning Section Introduction.mp4 41MB
  89. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.mp4 40MB
  90. PyTorch - Deep Learning and Artificial Intelligence/8. Recommender Systems/2. Recommender Systems with Deep Learning Code Preparation.mp4 40MB
  91. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/8. Text Classification with CNNs.mp4 39MB
  92. PyTorch - Deep Learning and Artificial Intelligence/16. In-Depth Gradient Descent/5. Adam.mp4 39MB
  93. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/9. BONUS Where to get discount coupons and FREE deep learning material.mp4 38MB
  94. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/7. CNN Code Preparation (part 2).mp4 37MB
  95. PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/1. Welcome.mp4 36MB
  96. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp4 35MB
  97. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/4. Loading in the data.mp4 35MB
  98. PyTorch - Deep Learning and Artificial Intelligence/16. In-Depth Gradient Descent/1. Gradient Descent.mp4 35MB
  99. PyTorch - Deep Learning and Artificial Intelligence/16. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.mp4 35MB
  100. PyTorch - Deep Learning and Artificial Intelligence/16. In-Depth Gradient Descent/3. Momentum.mp4 34MB
  101. PyTorch - Deep Learning and Artificial Intelligence/15. In-Depth Loss Functions/1. Mean Squared Error.mp4 34MB
  102. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/8. CNN Code Preparation (part 3).mp4 34MB
  103. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction.mp4 33MB
  104. PyTorch - Deep Learning and Artificial Intelligence/8. Recommender Systems/5. VIP Making Predictions with a Trained Recommender Model.mp4 33MB
  105. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/7. What does it mean to “learn”.mp4 33MB
  106. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/7. Generating Generators.mp4 32MB
  107. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/12. RNN for Image Classification (Theory).mp4 32MB
  108. PyTorch - Deep Learning and Artificial Intelligence/15. In-Depth Loss Functions/3. Categorical Cross Entropy.mp4 32MB
  109. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/5. Moore's Law.mp4 31MB
  110. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/6. Converting the data into pairs.mp4 30MB
  111. PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/3. Where to get the Code.mp4 30MB
  112. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/8. Creating the model and loss.mp4 29MB
  113. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/10. Saving and Loading a Model.mp4 29MB
  114. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/1. Reinforcement Learning Stock Trader Introduction.mp4 29MB
  115. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/3. What is Convolution (part 3).mp4 29MB
  116. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Other Ways to Forecast.mp4 28MB
  117. PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/2. GAN Code Preparation.mp4 28MB
  118. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/13. Model With Logits.mp4 27MB
  119. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/4. Program Design and Layout.mp4 27MB
  120. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/8. Classification Code Preparation.mp4 27MB
  121. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/5. Splitting the data into train and test.mp4 26MB
  122. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/3. Replay Buffer.mp4 25MB
  123. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/2. What is Convolution (part 2).mp4 24MB
  124. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/1. Facial Recognition Section Introduction.mp4 24MB
  125. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/3. Code Outline.mp4 24MB
  126. PyTorch - Deep Learning and Artificial Intelligence/15. In-Depth Loss Functions/2. Binary Cross Entropy.mp4 24MB
  127. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/12. Batch Normalization.mp4 23MB
  128. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/5. The Return.mp4 23MB
  129. PyTorch - Deep Learning and Artificial Intelligence/16. In-Depth Gradient Descent/2. Stochastic Gradient Descent.mp4 23MB
  130. PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/4. 2 Approaches to Transfer Learning.mp4 22MB
  131. PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).mp4 22MB
  132. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/13. RNN for Image Classification (Code).mp4 21MB
  133. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/10. Facial Recognition Section Summary.mp4 18MB
  134. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/4. Proof that the Linear Model Works.mp4 18MB
  135. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/9. Reinforcement Learning Stock Trader Discussion.mp4 17MB
  136. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/1. What is the Appendix.mp4 16MB
  137. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/2. Neural Networks with Embeddings.mp4 16MB
  138. PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.srt 32KB
  139. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 32KB
  140. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.srt 30KB
  141. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/5. CNN Architecture.srt 28KB
  142. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.srt 26KB
  143. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.srt 26KB
  144. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/8. What order should I take your courses in (part 2).srt 23KB
  145. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/6. CNN Code Preparation (part 1).srt 23KB
  146. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/4. Activation Functions.srt 23KB
  147. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.srt 23KB
  148. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).srt 21KB
  149. PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/1. GAN Theory.srt 21KB
  150. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/4. Convolution on Color Images.srt 21KB
  151. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).srt 20KB
  152. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/2. Regression Basics.srt 20KB
  153. PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.srt 20KB
  154. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/7. Code Preparation (ANN).srt 20KB
  155. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/7. Linear Classification Basics.srt 20KB
  156. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/1. What is Machine Learning.srt 18KB
  157. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/11. Q-Learning.srt 18KB
  158. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/3. Text Preprocessing (pt 1).srt 18KB
  159. PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/2. Overview and Outline.srt 18KB
  160. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/6. RNN Code Preparation.srt 18KB
  161. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/4. Regression Notebook.srt 17KB
  162. PyTorch - Deep Learning and Artificial Intelligence/8. Recommender Systems/4. Recommender Systems with Deep Learning Code (pt 2).srt 17KB
  163. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).srt 16KB
  164. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/3. Regression Code Preparation.srt 16KB
  165. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/1. Embeddings.srt 16KB
  166. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/7. What order should I take your courses in (part 1).srt 16KB
  167. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/14. Stock Return Predictions using LSTMs (pt 1).srt 16KB
  168. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/6. Moore's Law Notebook.srt 16KB
  169. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.srt 16KB
  170. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/4. Text Preprocessing (pt 2).srt 15KB
  171. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/6. How to Represent Images.srt 15KB
  172. PyTorch - Deep Learning and Artificial Intelligence/16. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.srt 15KB
  173. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2).srt 15KB
  174. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/7. CNNs for Text.srt 15KB
  175. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt 15KB
  176. PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 15KB
  177. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.srt 15KB
  178. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/6. How to Succeed in this Course (Long Version).srt 15KB
  179. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/9. Classification Notebook.srt 15KB
  180. PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/2. Uploading your own data to Google Colab.srt 14KB
  181. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/16. Stock Return Predictions using LSTMs (pt 3).srt 14KB
  182. PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.srt 14KB
  183. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/14. Train Sets vs. Validation Sets vs. Test Sets.srt 14KB
  184. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/5. Proof that using Jupyter Notebook is the same as not using it.srt 14KB
  185. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/12. How does a model learn.srt 14KB
  186. PyTorch - Deep Learning and Artificial Intelligence/8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.srt 14KB
  187. PyTorch - Deep Learning and Artificial Intelligence/16. In-Depth Gradient Descent/5. Adam.srt 14KB
  188. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/9. CNN for Fashion MNIST.srt 13KB
  189. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).srt 13KB
  190. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/2. Forecasting.srt 13KB
  191. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/9. ANN for Regression.srt 13KB
  192. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/4. How to Code Yourself (part 2).srt 13KB
  193. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/2. Siamese Networks.srt 13KB
  194. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/13. Improving CIFAR-10 Results.srt 13KB
  195. PyTorch - Deep Learning and Artificial Intelligence/13. VIP Uncertainty Estimation/1. Custom Loss and Estimating Prediction Uncertainty.srt 13KB
  196. PyTorch - Deep Learning and Artificial Intelligence/8. Recommender Systems/2. Recommender Systems with Deep Learning Code Preparation.srt 13KB
  197. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt 13KB
  198. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/4. Markov Decision Processes (MDPs).srt 13KB
  199. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/11. Data Augmentation.srt 13KB
  200. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/6. Value Functions and the Bellman Equation.srt 13KB
  201. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/11. A Short Neuroscience Primer.srt 12KB
  202. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/2. Forward Propagation.srt 12KB
  203. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/5. Multiclass Classification.srt 12KB
  204. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/5. Code pt 1.srt 12KB
  205. PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/3. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.srt 12KB
  206. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/6. Code pt 2.srt 12KB
  207. PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).srt 12KB
  208. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/3. The Geometrical Picture.srt 12KB
  209. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/3. States, Actions, Rewards, Policies.srt 11KB
  210. PyTorch - Deep Learning and Artificial Intelligence/15. In-Depth Loss Functions/1. Mean Squared Error.srt 11KB
  211. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.srt 11KB
  212. PyTorch - Deep Learning and Artificial Intelligence/8. Recommender Systems/3. Recommender Systems with Deep Learning Code (pt 1).srt 11KB
  213. PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/1. Transfer Learning Theory.srt 11KB
  214. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.srt 11KB
  215. PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/3. GAN Code.srt 11KB
  216. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/7. CNN Code Preparation (part 2).srt 10KB
  217. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/6. Text Classification with LSTMs.srt 10KB
  218. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.srt 10KB
  219. PyTorch - Deep Learning and Artificial Intelligence/16. In-Depth Gradient Descent/1. Gradient Descent.srt 10KB
  220. PyTorch - Deep Learning and Artificial Intelligence/15. In-Depth Loss Functions/3. Categorical Cross Entropy.srt 10KB
  221. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/9. Accuracy and imbalanced classes.srt 10KB
  222. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/5. Text Preprocessing (pt 3).srt 9KB
  223. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/8. Classification Code Preparation.srt 9KB
  224. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/10. CNN for CIFAR-10.srt 9KB
  225. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/5. Moore's Law.srt 9KB
  226. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/9. VIP Making Predictions with a Trained NLP Model.srt 9KB
  227. PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/3. Large Datasets.srt 9KB
  228. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/7. What does it mean to “learn”.srt 9KB
  229. PyTorch - Deep Learning and Artificial Intelligence/13. VIP Uncertainty Estimation/2. Estimating Prediction Uncertainty Code.srt 9KB
  230. PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/6. Transfer Learning Code (pt 2).srt 9KB
  231. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/4. Program Design and Layout.srt 9KB
  232. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/1. Deep Reinforcement Learning Section Introduction.srt 9KB
  233. PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/2. GAN Code Preparation.srt 9KB
  234. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.srt 8KB
  235. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/8. Code pt 4.srt 8KB
  236. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/3. What is Convolution (part 3).srt 8KB
  237. PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction.srt 8KB
  238. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/9. BONUS Where to get discount coupons and FREE deep learning material.srt 8KB
  239. PyTorch - Deep Learning and Artificial Intelligence/16. In-Depth Gradient Descent/3. Momentum.srt 8KB
  240. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.srt 8KB
  241. PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/3. Where to get the Code.srt 8KB
  242. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/10. Epsilon-Greedy.srt 7KB
  243. PyTorch - Deep Learning and Artificial Intelligence/15. In-Depth Loss Functions/2. Binary Cross Entropy.srt 7KB
  244. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/2. What is Convolution (part 2).srt 7KB
  245. PyTorch - Deep Learning and Artificial Intelligence/17. Extras/1. Links To Colab Notebooks.html 7KB
  246. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/8. CNN Code Preparation (part 3).srt 7KB
  247. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Other Ways to Forecast.srt 7KB
  248. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/3. Replay Buffer.srt 7KB
  249. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/4. Loading in the data.srt 7KB
  250. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 2).srt 7KB
  251. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/1. Reinforcement Learning Stock Trader Introduction.srt 7KB
  252. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/10. Saving and Loading a Model.srt 7KB
  253. PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/12. Batch Normalization.srt 7KB
  254. PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/5. The Return.srt 6KB
  255. PyTorch - Deep Learning and Artificial Intelligence/8. Recommender Systems/5. VIP Making Predictions with a Trained Recommender Model.srt 6KB
  256. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/12. RNN for Image Classification (Theory).srt 6KB
  257. PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/4. 2 Approaches to Transfer Learning.srt 6KB
  258. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/3. Code Outline.srt 6KB
  259. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/6. Converting the data into pairs.srt 6KB
  260. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/7. Generating Generators.srt 6KB
  261. PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/1. Welcome.srt 6KB
  262. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/8. Text Classification with CNNs.srt 6KB
  263. PyTorch - Deep Learning and Artificial Intelligence/16. In-Depth Gradient Descent/2. Stochastic Gradient Descent.srt 5KB
  264. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/8. Creating the model and loss.srt 5KB
  265. PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/13. Model With Logits.srt 5KB
  266. PyTorch - Deep Learning and Artificial Intelligence/9. Transfer Learning for Computer Vision/2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).srt 5KB
  267. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/5. Splitting the data into train and test.srt 5KB
  268. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/1. Facial Recognition Section Introduction.srt 5KB
  269. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/4. Proof that the Linear Model Works.srt 5KB
  270. PyTorch - Deep Learning and Artificial Intelligence/7. Natural Language Processing (NLP)/2. Neural Networks with Embeddings.srt 5KB
  271. PyTorch - Deep Learning and Artificial Intelligence/14. VIP Facial Recognition/10. Facial Recognition Section Summary.srt 4KB
  272. PyTorch - Deep Learning and Artificial Intelligence/12. Stock Trading Project with Deep Reinforcement Learning/9. Reinforcement Learning Stock Trader Discussion.srt 4KB
  273. PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/1. What is the Appendix.srt 4KB
  274. PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/13. RNN for Image Classification (Code).srt 3KB
  275. PyTorch - Deep Learning and Artificial Intelligence/READ_ME.txt 404B
  276. READ_ME.txt 404B
  277. PyTorch - Deep Learning and Artificial Intelligence/17. Extras/2. Links to VIP Notebooks.html 256B