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[] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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文件列表

  1. 01 - Introduction/001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4 146MB
  2. 02 - TensorFlow 2.0 Basics/001 From TensorFlow 1.x to TensorFlow 2.0.mp4 115MB
  3. 17 - Annex 3 - Recurrent Neural Networks Theory/005 LSTM Practical Intuition.mp4 107MB
  4. 17 - Annex 3 - Recurrent Neural Networks Theory/004 LSTMs.mp4 89MB
  5. 16 - Annex 2 - Convolutional Neural Networks Theory/005 Step 2 - Max Pooling.mp4 87MB
  6. 17 - Annex 3 - Recurrent Neural Networks Theory/003 Vanishing Gradient.mp4 86MB
  7. 16 - Annex 2 - Convolutional Neural Networks Theory/002 What are Convolutional Neural Networks.mp4 71MB
  8. 16 - Annex 2 - Convolutional Neural Networks Theory/003 Step 1 - Convolution.mp4 66MB
  9. 10 - Dataset Preprocessing with TensorFlow Transform (TFT)/005 Dataset preprocessing pipeline.mp4 60MB
  10. 16 - Annex 2 - Convolutional Neural Networks Theory/007 Step 4 - Full Connection.mp4 59MB
  11. 17 - Annex 3 - Recurrent Neural Networks Theory/002 What are Recurrent Neural Networks.mp4 58MB
  12. 04 - Convolutional Neural Networks/002 Building the Convolutional Neural Network.mp4 57MB
  13. 07 - Deep Reinforcement Learning Theory/009 Action Selection Policies.mp4 54MB
  14. 16 - Annex 2 - Convolutional Neural Networks Theory/009 Softmax & Cross-Entropy.mp4 51MB
  15. 07 - Deep Reinforcement Learning Theory/002 The Bellman Equation.mp4 48MB
  16. 06 - Transfer Learning and Fine Tuning/001 What is Transfer Learning.mp4 46MB
  17. 06 - Transfer Learning and Fine Tuning/002 Project Setup.mp4 44MB
  18. 15 - Annex 1 - Artificial Neural Networks Theory/002 The Neuron.mp4 44MB
  19. 15 - Annex 1 - Artificial Neural Networks Theory/005 How do Neural Networks Learn.mp4 43MB
  20. 07 - Deep Reinforcement Learning Theory/003 Markov Decision Process (MDP).mp4 42MB
  21. 07 - Deep Reinforcement Learning Theory/008 Experience Replay.mp4 38MB
  22. 07 - Deep Reinforcement Learning Theory/005 Temporal Difference.mp4 37MB
  23. 08 - Deep Reinforcement Learning for Stock Market trading/012 Training loop - Step 2.mp4 36MB
  24. 15 - Annex 1 - Artificial Neural Networks Theory/004 How do Neural Networks Work.mp4 35MB
  25. 07 - Deep Reinforcement Learning Theory/006 Deep Q-Learning Intuition - Step 1.mp4 34MB
  26. 15 - Annex 1 - Artificial Neural Networks Theory/007 Stochastic Gradient Descent.mp4 31MB
  27. 07 - Deep Reinforcement Learning Theory/004 Q-Learning Intuition.mp4 29MB
  28. 05 - Recurrent Neural Networks/001 Project Setup & Data Preprocessing.mp4 29MB
  29. 08 - Deep Reinforcement Learning for Stock Market trading/007 Dataset Loader function.mp4 27MB
  30. 15 - Annex 1 - Artificial Neural Networks Theory/006 Gradient Descent.mp4 26MB
  31. 07 - Deep Reinforcement Learning Theory/001 What is Reinforcement Learning.mp4 25MB
  32. 08 - Deep Reinforcement Learning for Stock Market trading/006 AI Trader - Step 5.mp4 23MB
  33. 02 - TensorFlow 2.0 Basics/002 Constants, Variables, Tensors.mp4 23MB
  34. 03 - Artificial Neural Networks/003 Building the Artificial Neural Network.mp4 23MB
  35. 03 - Artificial Neural Networks/001 Project Setup.mp4 22MB
  36. 03 - Artificial Neural Networks/002 Data Preprocessing.mp4 21MB
  37. 16 - Annex 2 - Convolutional Neural Networks Theory/004 Step 1 Bis - ReLU Layer.mp4 21MB
  38. 12 - Image Classification API with TensorFlow Serving/003 Project setup.mp4 20MB
  39. 04 - Convolutional Neural Networks/003 Training and Evaluating the Convolutional Neural Network.mp4 20MB
  40. 13 - TensorFlow Lite Prepare a model for a mobile device/003 Dataset preprocessing.mp4 20MB
  41. 12 - Image Classification API with TensorFlow Serving/007 Serving the TensorFlow 2.0 Model.mp4 20MB
  42. 02 - TensorFlow 2.0 Basics/003 Operations with Tensors.mp4 19MB
  43. 14 - Distributed Training with TensorFlow 2.0/007 Final evaluation - Speed test normal model vs distributed model.mp4 19MB
  44. 15 - Annex 1 - Artificial Neural Networks Theory/008 Backpropagation.mp4 18MB
  45. 05 - Recurrent Neural Networks/003 Training and Evaluating the Recurrent Neural Network.mp4 17MB
  46. 15 - Annex 1 - Artificial Neural Networks Theory/003 The Activation Function.mp4 17MB
  47. 03 - Artificial Neural Networks/004 Training the Artificial Neural Network.mp4 17MB
  48. 04 - Convolutional Neural Networks/001 Project Setup & Data Preprocessing.mp4 17MB
  49. 10 - Dataset Preprocessing with TensorFlow Transform (TFT)/002 Initial dataset preprocessing.mp4 16MB
  50. 12 - Image Classification API with TensorFlow Serving/005 Defining, training and evaluating a model.mp4 16MB
  51. 11 - Fashion API with Flask and TensorFlow 2.0/005 Creating classify function.mp4 16MB
  52. 11 - Fashion API with Flask and TensorFlow 2.0/001 Project Setup.mp4 15MB
  53. 06 - Transfer Learning and Fine Tuning/009 Image Data Generators.mp4 15MB
  54. 05 - Recurrent Neural Networks/002 Building the Recurrent Neural Network.mp4 15MB
  55. 02 - TensorFlow 2.0 Basics/004 Strings.mp4 15MB
  56. 06 - Transfer Learning and Fine Tuning/003 Dataset preprocessing.mp4 15MB
  57. 06 - Transfer Learning and Fine Tuning/004 Loading the MobileNet V2 model.mp4 15MB
  58. 07 - Deep Reinforcement Learning Theory/007 Deep Q-Learning Intuition - Step 2.mp4 15MB
  59. 08 - Deep Reinforcement Learning for Stock Market trading/008 State creator function.mp4 14MB
  60. 08 - Deep Reinforcement Learning for Stock Market trading/011 Training loop - Step 1.mp4 12MB
  61. 09 - Data Validation with TensorFlow Data Validation (TFDV)/002 Loading the pollution dataset.mp4 12MB
  62. 11 - Fashion API with Flask and TensorFlow 2.0/007 Sending API requests over internet to the model.mp4 12MB
  63. 08 - Deep Reinforcement Learning for Stock Market trading/002 AI Trader - Step 1.mp4 12MB
  64. 12 - Image Classification API with TensorFlow Serving/004 Dataset preprocessing.mp4 11MB
  65. 03 - Artificial Neural Networks/005 Evaluating the Artificial Neural Network.mp4 11MB
  66. 12 - Image Classification API with TensorFlow Serving/009 Sending the first POST request to the model.mp4 11MB
  67. 16 - Annex 2 - Convolutional Neural Networks Theory/008 Summary.mp4 11MB
  68. 12 - Image Classification API with TensorFlow Serving/006 Saving the model for production.mp4 10MB
  69. 12 - Image Classification API with TensorFlow Serving/001 What is the TensorFlow Serving.mp4 10MB
  70. 14 - Distributed Training with TensorFlow 2.0/003 Dataset preprocessing.mp4 10MB
  71. 06 - Transfer Learning and Fine Tuning/007 Defining the transfer learning model.mp4 10MB
  72. 10 - Dataset Preprocessing with TensorFlow Transform (TFT)/003 Dataset metadata.mp4 10MB
  73. 12 - Image Classification API with TensorFlow Serving/008 Creating a JSON object.mp4 10MB
  74. 09 - Data Validation with TensorFlow Data Validation (TFDV)/003 Creating dataset Schema.mp4 10MB
  75. 06 - Transfer Learning and Fine Tuning/012 Fine Tuning model definition.mp4 9MB
  76. 09 - Data Validation with TensorFlow Data Validation (TFDV)/001 Project Setup.mp4 9MB
  77. 09 - Data Validation with TensorFlow Data Validation (TFDV)/005 Anomaly detection with TensorFlow Data Validation.mp4 9MB
  78. 08 - Deep Reinforcement Learning for Stock Market trading/001 Project Setup.mp4 9MB
  79. 10 - Dataset Preprocessing with TensorFlow Transform (TFT)/004 Preprocessing function.mp4 9MB
  80. 06 - Transfer Learning and Fine Tuning/006 Adding a custom head to the pre-trained model.mp4 9MB
  81. 09 - Data Validation with TensorFlow Data Validation (TFDV)/006 Preparing Schema for production.mp4 9MB
  82. 11 - Fashion API with Flask and TensorFlow 2.0/003 Loading a pre-trained model.mp4 8MB
  83. 10 - Dataset Preprocessing with TensorFlow Transform (TFT)/001 Project Setup.mp4 8MB
  84. 12 - Image Classification API with TensorFlow Serving/002 TensorFlow Serving architecture.mp4 8MB
  85. 14 - Distributed Training with TensorFlow 2.0/002 Project Setup.mp4 8MB
  86. 06 - Transfer Learning and Fine Tuning/010 Transfer Learning.mp4 8MB
  87. 11 - Fashion API with Flask and TensorFlow 2.0/006 Starting the Flask application.mp4 7MB
  88. 17 - Annex 3 - Recurrent Neural Networks Theory/006 LSTM Variations.mp4 7MB
  89. 08 - Deep Reinforcement Learning for Stock Market trading/005 AI Trader - Step 4.mp4 7MB
  90. 16 - Annex 2 - Convolutional Neural Networks Theory/001 Plan of Attack.mp4 6MB
  91. 08 - Deep Reinforcement Learning for Stock Market trading/004 AI Trader - Step 3.mp4 6MB
  92. 13 - TensorFlow Lite Prepare a model for a mobile device/004 Building a model.mp4 6MB
  93. 14 - Distributed Training with TensorFlow 2.0/004 Defining a non-distributed model (normal CNN model).mp4 6MB
  94. 13 - TensorFlow Lite Prepare a model for a mobile device/001 What is the TensorFlow Lite.mp4 6MB
  95. 08 - Deep Reinforcement Learning for Stock Market trading/010 Defining the model.mp4 6MB
  96. 13 - TensorFlow Lite Prepare a model for a mobile device/005 Training, evaluating the model.mp4 5MB
  97. 14 - Distributed Training with TensorFlow 2.0/001 What is the Distributed Training.mp4 5MB
  98. 14 - Distributed Training with TensorFlow 2.0/006 Defining a distributed model.mp4 5MB
  99. 08 - Deep Reinforcement Learning for Stock Market trading/003 AI Trader - Step 2.mp4 5MB
  100. 06 - Transfer Learning and Fine Tuning/008 Compiling the Transfer Learning model.mp4 5MB
  101. 11 - Fashion API with Flask and TensorFlow 2.0/002 Importing project dependencies.mp4 5MB
  102. 15 - Annex 1 - Artificial Neural Networks Theory/001 Plan of Attack.mp4 5MB
  103. 11 - Fashion API with Flask and TensorFlow 2.0/004 Defining the Flask application.mp4 4MB
  104. 06 - Transfer Learning and Fine Tuning/014 Fine Tuning.mp4 4MB
  105. 17 - Annex 3 - Recurrent Neural Networks Theory/001 Plan of Attack.mp4 4MB
  106. 12 - Image Classification API with TensorFlow Serving/010 Sending the POST request to a specific model.mp4 4MB
  107. 09 - Data Validation with TensorFlow Data Validation (TFDV)/007 Saving the Schema.mp4 4MB
  108. 13 - TensorFlow Lite Prepare a model for a mobile device/006 Saving the model.mp4 4MB
  109. 13 - TensorFlow Lite Prepare a model for a mobile device/002 Project setup.mp4 4MB
  110. 06 - Transfer Learning and Fine Tuning/011 Evaluating Transfer Learning results.mp4 4MB
  111. 06 - Transfer Learning and Fine Tuning/015 Evaluating Fine Tuning results.mp4 4MB
  112. 13 - TensorFlow Lite Prepare a model for a mobile device/009 Saving the converted model.mp4 4MB
  113. 08 - Deep Reinforcement Learning for Stock Market trading/009 Loading the dataset.mp4 3MB
  114. 14 - Distributed Training with TensorFlow 2.0/005 Setting up a distributed strategy.mp4 3MB
  115. 16 - Annex 2 - Convolutional Neural Networks Theory/006 Step 3 - Flattening.mp4 3MB
  116. 13 - TensorFlow Lite Prepare a model for a mobile device/007 TensorFlow Lite Converter.mp4 3MB
  117. 06 - Transfer Learning and Fine Tuning/005 Freezing the pre-trained model.mp4 3MB
  118. 06 - Transfer Learning and Fine Tuning/013 Compiling the Fine Tuning model.mp4 2MB
  119. 13 - TensorFlow Lite Prepare a model for a mobile device/008 Converting the model to a TensorFlow Lite model.mp4 2MB
  120. 09 - Data Validation with TensorFlow Data Validation (TFDV)/004 Computing test set statistics.mp4 1MB
  121. 11 - Fashion API with Flask and TensorFlow 2.0/19265454-Flask-API.zip 372KB
  122. 09 - Data Validation with TensorFlow Data Validation (TFDV)/18573084-pollution-small.csv 73KB
  123. 10 - Dataset Preprocessing with TensorFlow Transform (TFT)/18573088-pollution-small.csv 73KB
  124. 07 - Deep Reinforcement Learning Theory/002 The Bellman Equation_en.vtt 28KB
  125. 16 - Annex 2 - Convolutional Neural Networks Theory/007 Step 4 - Full Connection_en.vtt 27KB
  126. 07 - Deep Reinforcement Learning Theory/005 Temporal Difference_en.vtt 26KB
  127. 17 - Annex 3 - Recurrent Neural Networks Theory/004 LSTMs_en.vtt 26KB
  128. 07 - Deep Reinforcement Learning Theory/003 Markov Decision Process (MDP)_en.vtt 24KB
  129. 01 - Introduction/001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit_en.vtt 24KB
  130. 15 - Annex 1 - Artificial Neural Networks Theory/002 The Neuron_en.vtt 23KB
  131. 16 - Annex 2 - Convolutional Neural Networks Theory/009 Softmax & Cross-Entropy_en.vtt 23KB
  132. 07 - Deep Reinforcement Learning Theory/009 Action Selection Policies_en.vtt 23KB
  133. 17 - Annex 3 - Recurrent Neural Networks Theory/002 What are Recurrent Neural Networks_en.vtt 22KB
  134. 07 - Deep Reinforcement Learning Theory/008 Experience Replay_en.vtt 22KB
  135. 16 - Annex 2 - Convolutional Neural Networks Theory/003 Step 1 - Convolution_en.vtt 22KB
  136. 16 - Annex 2 - Convolutional Neural Networks Theory/002 What are Convolutional Neural Networks_en.vtt 21KB
  137. 07 - Deep Reinforcement Learning Theory/006 Deep Q-Learning Intuition - Step 1_en.vtt 20KB
  138. 07 - Deep Reinforcement Learning Theory/004 Q-Learning Intuition_en.vtt 20KB
  139. 16 - Annex 2 - Convolutional Neural Networks Theory/005 Step 2 - Max Pooling_en.vtt 20KB
  140. 17 - Annex 3 - Recurrent Neural Networks Theory/003 Vanishing Gradient_en.vtt 19KB
  141. 17 - Annex 3 - Recurrent Neural Networks Theory/005 LSTM Practical Intuition_en.vtt 19KB
  142. 04 - Convolutional Neural Networks/002 Building the Convolutional Neural Network_en.vtt 18KB
  143. 15 - Annex 1 - Artificial Neural Networks Theory/004 How do Neural Networks Work_en.vtt 18KB
  144. 15 - Annex 1 - Artificial Neural Networks Theory/005 How do Neural Networks Learn_en.vtt 17KB
  145. 07 - Deep Reinforcement Learning Theory/001 What is Reinforcement Learning_en.vtt 17KB
  146. 02 - TensorFlow 2.0 Basics/001 From TensorFlow 1.x to TensorFlow 2.0_en.vtt 15KB
  147. 03 - Artificial Neural Networks/003 Building the Artificial Neural Network_en.vtt 14KB
  148. 15 - Annex 1 - Artificial Neural Networks Theory/006 Gradient Descent_en.vtt 13KB
  149. 02 - TensorFlow 2.0 Basics/002 Constants, Variables, Tensors_en.vtt 12KB
  150. 15 - Annex 1 - Artificial Neural Networks Theory/007 Stochastic Gradient Descent_en.vtt 11KB
  151. 15 - Annex 1 - Artificial Neural Networks Theory/003 The Activation Function_en.vtt 11KB
  152. 04 - Convolutional Neural Networks/003 Training and Evaluating the Convolutional Neural Network_en.vtt 10KB
  153. 04 - Convolutional Neural Networks/001 Project Setup & Data Preprocessing_en.vtt 10KB
  154. 05 - Recurrent Neural Networks/003 Training and Evaluating the Recurrent Neural Network_en.vtt 10KB
  155. 03 - Artificial Neural Networks/004 Training the Artificial Neural Network_en.vtt 10KB
  156. 10 - Dataset Preprocessing with TensorFlow Transform (TFT)/005 Dataset preprocessing pipeline_en.vtt 9KB
  157. 03 - Artificial Neural Networks/002 Data Preprocessing_en.vtt 9KB
  158. 05 - Recurrent Neural Networks/001 Project Setup & Data Preprocessing_en.vtt 9KB
  159. 07 - Deep Reinforcement Learning Theory/007 Deep Q-Learning Intuition - Step 2_en.vtt 9KB
  160. 08 - Deep Reinforcement Learning for Stock Market trading/008 State creator function_en.vtt 9KB
  161. 16 - Annex 2 - Convolutional Neural Networks Theory/004 Step 1 Bis - ReLU Layer_en.vtt 9KB
  162. 08 - Deep Reinforcement Learning for Stock Market trading/012 Training loop - Step 2_en.vtt 8KB
  163. 05 - Recurrent Neural Networks/002 Building the Recurrent Neural Network_en.vtt 8KB
  164. 02 - TensorFlow 2.0 Basics/003 Operations with Tensors_en.vtt 8KB
  165. 02 - TensorFlow 2.0 Basics/004 Strings_en.vtt 8KB
  166. 03 - Artificial Neural Networks/001 Project Setup_en.vtt 8KB
  167. 10 - Dataset Preprocessing with TensorFlow Transform (TFT)/002 Initial dataset preprocessing_en.vtt 7KB
  168. 08 - Deep Reinforcement Learning for Stock Market trading/007 Dataset Loader function_en.vtt 7KB
  169. 12 - Image Classification API with TensorFlow Serving/001 What is the TensorFlow Serving_en.vtt 7KB
  170. 08 - Deep Reinforcement Learning for Stock Market trading/002 AI Trader - Step 1_en.vtt 7KB
  171. 11 - Fashion API with Flask and TensorFlow 2.0/001 Project Setup_en.vtt 7KB
  172. 15 - Annex 1 - Artificial Neural Networks Theory/008 Backpropagation_en.vtt 6KB
  173. 08 - Deep Reinforcement Learning for Stock Market trading/011 Training loop - Step 1_en.vtt 6KB
  174. 12 - Image Classification API with TensorFlow Serving/009 Sending the first POST request to the model_en.vtt 6KB
  175. 03 - Artificial Neural Networks/005 Evaluating the Artificial Neural Network_en.vtt 6KB
  176. 09 - Data Validation with TensorFlow Data Validation (TFDV)/003 Creating dataset Schema_en.vtt 6KB
  177. 08 - Deep Reinforcement Learning for Stock Market trading/006 AI Trader - Step 5_en.vtt 6KB
  178. 06 - Transfer Learning and Fine Tuning/003 Dataset preprocessing_en.vtt 6KB
  179. 16 - Annex 2 - Convolutional Neural Networks Theory/008 Summary_en.vtt 6KB
  180. 06 - Transfer Learning and Fine Tuning/009 Image Data Generators_en.vtt 6KB
  181. 06 - Transfer Learning and Fine Tuning/001 What is Transfer Learning_en.vtt 5KB
  182. 10 - Dataset Preprocessing with TensorFlow Transform (TFT)/004 Preprocessing function_en.vtt 5KB
  183. 11 - Fashion API with Flask and TensorFlow 2.0/005 Creating classify function_en.vtt 5KB
  184. 12 - Image Classification API with TensorFlow Serving/006 Saving the model for production_en.vtt 5KB
  185. 14 - Distributed Training with TensorFlow 2.0/003 Dataset preprocessing_en.vtt 5KB
  186. 16 - Annex 2 - Convolutional Neural Networks Theory/001 Plan of Attack_en.vtt 5KB
  187. 09 - Data Validation with TensorFlow Data Validation (TFDV)/005 Anomaly detection with TensorFlow Data Validation_en.vtt 5KB
  188. 09 - Data Validation with TensorFlow Data Validation (TFDV)/002 Loading the pollution dataset_en.vtt 5KB
  189. 12 - Image Classification API with TensorFlow Serving/004 Dataset preprocessing_en.vtt 5KB
  190. 17 - Annex 3 - Recurrent Neural Networks Theory/006 LSTM Variations_en.vtt 5KB
  191. 13 - TensorFlow Lite Prepare a model for a mobile device/001 What is the TensorFlow Lite_en.vtt 5KB
  192. 10 - Dataset Preprocessing with TensorFlow Transform (TFT)/003 Dataset metadata_en.vtt 4KB
  193. 12 - Image Classification API with TensorFlow Serving/007 Serving the TensorFlow 2.0 Model_en.vtt 4KB
  194. 12 - Image Classification API with TensorFlow Serving/002 TensorFlow Serving architecture_en.vtt 4KB
  195. 12 - Image Classification API with TensorFlow Serving/003 Project setup_en.vtt 4KB
  196. 06 - Transfer Learning and Fine Tuning/012 Fine Tuning model definition_en.vtt 4KB
  197. 09 - Data Validation with TensorFlow Data Validation (TFDV)/001 Project Setup_en.vtt 4KB
  198. 09 - Data Validation with TensorFlow Data Validation (TFDV)/006 Preparing Schema for production_en.vtt 4KB
  199. 13 - TensorFlow Lite Prepare a model for a mobile device/003 Dataset preprocessing_en.vtt 4KB
  200. 14 - Distributed Training with TensorFlow 2.0/001 What is the Distributed Training_en.vtt 4KB
  201. 11 - Fashion API with Flask and TensorFlow 2.0/007 Sending API requests over internet to the model_en.vtt 4KB
  202. 14 - Distributed Training with TensorFlow 2.0/007 Final evaluation - Speed test normal model vs distributed model_en.vtt 4KB
  203. 06 - Transfer Learning and Fine Tuning/002 Project Setup_en.vtt 4KB
  204. 06 - Transfer Learning and Fine Tuning/006 Adding a custom head to the pre-trained model_en.vtt 4KB
  205. 15 - Annex 1 - Artificial Neural Networks Theory/001 Plan of Attack_en.vtt 4KB
  206. 11 - Fashion API with Flask and TensorFlow 2.0/003 Loading a pre-trained model_en.vtt 4KB
  207. 14 - Distributed Training with TensorFlow 2.0/004 Defining a non-distributed model (normal CNN model)_en.vtt 3KB
  208. 06 - Transfer Learning and Fine Tuning/004 Loading the MobileNet V2 model_en.vtt 3KB
  209. 12 - Image Classification API with TensorFlow Serving/005 Defining, training and evaluating a model_en.vtt 3KB
  210. 08 - Deep Reinforcement Learning for Stock Market trading/005 AI Trader - Step 4_en.vtt 3KB
  211. 17 - Annex 3 - Recurrent Neural Networks Theory/001 Plan of Attack_en.vtt 3KB
  212. 06 - Transfer Learning and Fine Tuning/008 Compiling the Transfer Learning model_en.vtt 3KB
  213. 12 - Image Classification API with TensorFlow Serving/008 Creating a JSON object_en.vtt 3KB
  214. 13 - TensorFlow Lite Prepare a model for a mobile device/004 Building a model_en.vtt 3KB
  215. 08 - Deep Reinforcement Learning for Stock Market trading/010 Defining the model_en.vtt 3KB
  216. 06 - Transfer Learning and Fine Tuning/010 Transfer Learning_en.vtt 3KB
  217. 08 - Deep Reinforcement Learning for Stock Market trading/004 AI Trader - Step 3_en.vtt 3KB
  218. 08 - Deep Reinforcement Learning for Stock Market trading/001 Project Setup_en.vtt 3KB
  219. 10 - Dataset Preprocessing with TensorFlow Transform (TFT)/001 Project Setup_en.vtt 2KB
  220. 11 - Fashion API with Flask and TensorFlow 2.0/006 Starting the Flask application_en.vtt 2KB
  221. 16 - Annex 2 - Convolutional Neural Networks Theory/006 Step 3 - Flattening_en.vtt 2KB
  222. 08 - Deep Reinforcement Learning for Stock Market trading/003 AI Trader - Step 2_en.vtt 2KB
  223. 06 - Transfer Learning and Fine Tuning/014 Fine Tuning_en.vtt 2KB
  224. 13 - TensorFlow Lite Prepare a model for a mobile device/002 Project setup_en.vtt 2KB
  225. 18 - Bonus Lectures/003 FREE LEARNING RESOURCES FOR YOU.html 2KB
  226. 12 - Image Classification API with TensorFlow Serving/010 Sending the POST request to a specific model_en.vtt 2KB
  227. 11 - Fashion API with Flask and TensorFlow 2.0/002 Importing project dependencies_en.vtt 2KB
  228. 13 - TensorFlow Lite Prepare a model for a mobile device/005 Training, evaluating the model_en.vtt 2KB
  229. 13 - TensorFlow Lite Prepare a model for a mobile device/010 What's next.html 2KB
  230. 14 - Distributed Training with TensorFlow 2.0/006 Defining a distributed model_en.vtt 2KB
  231. 06 - Transfer Learning and Fine Tuning/007 Defining the transfer learning model_en.vtt 2KB
  232. 10 - Dataset Preprocessing with TensorFlow Transform (TFT)/006 What's next.html 2KB
  233. 09 - Data Validation with TensorFlow Data Validation (TFDV)/008 What's next.html 2KB
  234. 14 - Distributed Training with TensorFlow 2.0/005 Setting up a distributed strategy_en.vtt 2KB
  235. 13 - TensorFlow Lite Prepare a model for a mobile device/006 Saving the model_en.vtt 2KB
  236. 06 - Transfer Learning and Fine Tuning/015 Evaluating Fine Tuning results_en.vtt 2KB
  237. 08 - Deep Reinforcement Learning for Stock Market trading/009 Loading the dataset_en.vtt 2KB
  238. 13 - TensorFlow Lite Prepare a model for a mobile device/009 Saving the converted model_en.vtt 2KB
  239. 14 - Distributed Training with TensorFlow 2.0/002 Project Setup_en.vtt 2KB
  240. 13 - TensorFlow Lite Prepare a model for a mobile device/007 TensorFlow Lite Converter_en.vtt 2KB
  241. 11 - Fashion API with Flask and TensorFlow 2.0/004 Defining the Flask application_en.vtt 2KB
  242. 06 - Transfer Learning and Fine Tuning/011 Evaluating Transfer Learning results_en.vtt 2KB
  243. 06 - Transfer Learning and Fine Tuning/005 Freezing the pre-trained model_en.vtt 2KB
  244. 09 - Data Validation with TensorFlow Data Validation (TFDV)/007 Saving the Schema_en.vtt 2KB
  245. 01 - Introduction/004 BONUS Learning Path.html 1KB
  246. 13 - TensorFlow Lite Prepare a model for a mobile device/008 Converting the model to a TensorFlow Lite model_en.vtt 1KB
  247. 06 - Transfer Learning and Fine Tuning/013 Compiling the Fine Tuning model_en.vtt 1KB
  248. 18 - Bonus Lectures/002 YOUR SPECIAL BONUS.html 1KB
  249. 09 - Data Validation with TensorFlow Data Validation (TFDV)/004 Computing test set statistics_en.vtt 739B
  250. 18 - Bonus Lectures/001 SPECIAL COVID-19 BONUS.html 722B
  251. 01 - Introduction/003 BONUS 10 advantages of TensorFlow.html 613B
  252. 04 - Convolutional Neural Networks/005 HOMEWORK SOLUTION Convolutional Neural Networks.html 573B
  253. 04 - Convolutional Neural Networks/004 HOMEWORK Convolutional Neural Networks.html 500B
  254. 03 - Artificial Neural Networks/006 HOMEWORK Artificial Neural Networks.html 493B
  255. 01 - Introduction/002 Course Curriculum & Colab Toolkit.html 464B
  256. 03 - Artificial Neural Networks/007 HOMEWORK SOLUTION Artificial Neural Networks.html 421B
  257. 08 - Deep Reinforcement Learning for Stock Market trading/external-assets-links.txt 200B
  258. 0. Websites you may like/[FCS Forum].url 133B
  259. 0. Websites you may like/[FreeCourseSite.com].url 127B
  260. 06 - Transfer Learning and Fine Tuning/external-assets-links.txt 125B
  261. 02 - TensorFlow 2.0 Basics/external-assets-links.txt 124B
  262. 0. Websites you may like/[CourseClub.ME].url 122B
  263. 14 - Distributed Training with TensorFlow 2.0/external-assets-links.txt 112B
  264. 12 - Image Classification API with TensorFlow Serving/external-assets-links.txt 110B
  265. 13 - TensorFlow Lite Prepare a model for a mobile device/external-assets-links.txt 107B
  266. 09 - Data Validation with TensorFlow Data Validation (TFDV)/external-assets-links.txt 96B
  267. 03 - Artificial Neural Networks/external-assets-links.txt 95B
  268. 04 - Convolutional Neural Networks/external-assets-links.txt 95B
  269. 05 - Recurrent Neural Networks/external-assets-links.txt 95B
  270. 10 - Dataset Preprocessing with TensorFlow Transform (TFT)/external-assets-links.txt 95B
  271. 0. Websites you may like/[GigaCourse.Com].url 49B