589689.xyz

PyTorch-Deep Learning and Artificial Intelligence [updated]

  • 收录时间:2021-06-22 17:06:16
  • 文件大小:7GB
  • 下载次数:1
  • 最近下载:2021-06-22 17:06:15
  • 磁力链接:
立即下载 复制链接

文件列表

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