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[] Udemy - Complete Tensorflow 2 and Keras Deep Learning Bootcamp

  • 收录时间:2020-07-26 21:58:25
  • 文件大小:7GB
  • 下载次数:13
  • 最近下载:2021-01-18 15:16:47
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文件列表

  1. 01 Course Overview Installs and Setup/002 Course Setup and Installation.mp4 152MB
  2. 13 Deployment/114 Flask Front End.mp4 150MB
  3. 09 Recurrent Neural Networks - RNNs/088 Bonus - Multivariate Time Series - RNN and LSTMs.mp4 149MB
  4. 09 Recurrent Neural Networks - RNNs/087 RNN Exercise - Solutions.mp4 148MB
  5. 07 Basic Artificial Neural Networks - ANNs/057 Tensorboard.mp4 144MB
  6. 07 Basic Artificial Neural Networks - ANNs/050 Keras Project Solutions - Exploratory Data Analysis.mp4 144MB
  7. 07 Basic Artificial Neural Networks - ANNs/042 Keras Regression Code Along - Exploratory Data Analysis.mp4 137MB
  8. 12 Generative Adversarial Networks/106 Creating a GAN - Part Three - Model Training.mp4 132MB
  9. 09 Recurrent Neural Networks - RNNs/085 RNN on a Time Series - Part Two.mp4 131MB
  10. 13 Deployment/115 Live Deployment to the Web.mp4 127MB
  11. 07 Basic Artificial Neural Networks - ANNs/053 Keras Project Solutions - Categorical Data.mp4 125MB
  12. 11 AutoEncoders/098 Autoencoder for Dimensionality Reduction.mp4 117MB
  13. 07 Basic Artificial Neural Networks - ANNs/047 Keras Classification - Dealing with Overfitting and Evaluation.mp4 111MB
  14. 01 Course Overview Installs and Setup/002 FINAL-TF2-FILES.zip 99MB
  15. 01 Course Overview Installs and Setup/003 FINAL-TF2-FILES.zip 99MB
  16. 08 Convolutional Neural Networks - CNNs/064 CNN on MNIST - Part Two - Creating and Training the Model.mp4 99MB
  17. 07 Basic Artificial Neural Networks - ANNs/051 Keras Project Solutions - Dealing with Missing Data.mp4 97MB
  18. 11 AutoEncoders/099 Autoencoder for Images - Part One.mp4 94MB
  19. 04 Pandas Crash Course/017 Data Input and Output.mp4 93MB
  20. 05 Visualization Crash Course/022 Seaborn Basics.mp4 92MB
  21. 08 Convolutional Neural Networks - CNNs/071 CNN on Real Image Files - Part Three - Creating the Model.mp4 91MB
  22. 03 NumPy Crash Course/005 NumPy Arrays.mp4 89MB
  23. 08 Convolutional Neural Networks - CNNs/070 CNN on Real Image Files - Part Two - Data Processing.mp4 88MB
  24. 13 Deployment/109 Creating the Model.mp4 87MB
  25. 07 Basic Artificial Neural Networks - ANNs/052 Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 85MB
  26. 07 Basic Artificial Neural Networks - ANNs/040 Keras Syntax Basics - Part Two - Creating and Training the Model.mp4 85MB
  27. 09 Recurrent Neural Networks - RNNs/082 RNN on a Sine Wave - Creating the Model.mp4 84MB
  28. 09 Recurrent Neural Networks - RNNs/083 RNN on a Sine Wave - LSTMs and Forecasting.mp4 83MB
  29. 06 Machine Learning Concepts Overview/028 Evaluating Performance - Classification Error Metrics.mp4 83MB
  30. 10 Natural Language Processing/092 NLP - Part Three - Creating Batches.mp4 82MB
  31. 08 Convolutional Neural Networks - CNNs/069 CNN on Real Image Files - Part One - Reading in the Data.mp4 81MB
  32. 07 Basic Artificial Neural Networks - ANNs/049 TensorFlow 2.0 Keras Project Notebook Overview.mp4 81MB
  33. 11 AutoEncoders/102 Autoencoder Exercise - Solutions.mp4 78MB
  34. 07 Basic Artificial Neural Networks - ANNs/043 Keras Regression Code Along - Exploratory Data Analysis - Continued.mp4 76MB
  35. 07 Basic Artificial Neural Networks - ANNs/036 Cost Functions and Gradient Descent.mp4 76MB
  36. 08 Convolutional Neural Networks - CNNs/059 Image Filters and Kernels.mp4 72MB
  37. 12 Generative Adversarial Networks/105 Creating a GAN - Part Two - The Model.mp4 70MB
  38. 13 Deployment/112 Flask Postman API.mp4 69MB
  39. 07 Basic Artificial Neural Networks - ANNs/045 Keras Regression Code Along - Model Evaluation and Predictions.mp4 69MB
  40. 10 Natural Language Processing/094 NLP - Part Five - Training the Model.mp4 65MB
  41. 07 Basic Artificial Neural Networks - ANNs/041 Keras Syntax Basics - Part Three - Model Evaluation.mp4 65MB
  42. 10 Natural Language Processing/093 NLP - Part Four - Creating the Model.mp4 64MB
  43. 08 Convolutional Neural Networks - CNNs/066 CNN on CIFAR-10 - Part One - The Data.mp4 64MB
  44. 07 Basic Artificial Neural Networks - ANNs/056 Keras Project Solutions - Model Evaluation.mp4 63MB
  45. 07 Basic Artificial Neural Networks - ANNs/034 Activation Functions.mp4 63MB
  46. 13 Deployment/111 Running a Basic Flask Application.mp4 62MB
  47. 04 Pandas Crash Course/016 Pandas Operations.mp4 61MB
  48. 11 AutoEncoders/100 Autoencoder for Images - Part Two - Noise Removal.mp4 61MB
  49. 08 Convolutional Neural Networks - CNNs/063 CNN on MNIST - Part One - The Data.mp4 60MB
  50. 08 Convolutional Neural Networks - CNNs/060 Convolutional Layers.mp4 58MB
  51. 07 Basic Artificial Neural Networks - ANNs/037 Backpropagation.mp4 58MB
  52. 12 Generative Adversarial Networks/107 DCGAN - Deep Convolutional Generative Adversarial Networks.mp4 57MB
  53. 04 Pandas Crash Course/015 GroupBy Operations.mp4 56MB
  54. 07 Basic Artificial Neural Networks - ANNs/046 Keras Classification Code Along - EDA and Preprocessing.mp4 56MB
  55. 08 Convolutional Neural Networks - CNNs/074 CNN Exercise Solutions.mp4 56MB
  56. 12 Generative Adversarial Networks/103 GANs Overview.mp4 54MB
  57. 13 Deployment/110 Model Prediction Function.mp4 53MB
  58. 10 Natural Language Processing/095 NLP - Part Six - Generating Text.mp4 52MB
  59. 04 Pandas Crash Course/019 Pandas Exercises - Solutions.mp4 51MB
  60. 07 Basic Artificial Neural Networks - ANNs/039 Keras Syntax Basics - Part One - Preparing the Data.mp4 51MB
  61. 05 Visualization Crash Course/024 Data Visualization Exercises - Solutions.mp4 50MB
  62. 09 Recurrent Neural Networks - RNNs/081 RNN on a Sine Wave - Batch Generator.mp4 50MB
  63. 03 NumPy Crash Course/007 NumPy Operations.mp4 49MB
  64. 03 NumPy Crash Course/009 Numpy Exercises - Solutions.mp4 49MB
  65. 07 Basic Artificial Neural Networks - ANNs/032 Perceptron Model.mp4 48MB
  66. 08 Convolutional Neural Networks - CNNs/072 CNN on Real Image Files - Part Four - Evaluating the Model.mp4 47MB
  67. 07 Basic Artificial Neural Networks - ANNs/044 Keras Regression Code Along - Data Preprocessing and Creating a Model.mp4 47MB
  68. 03 NumPy Crash Course/006 Numpy Index Selection.mp4 46MB
  69. 07 Basic Artificial Neural Networks - ANNs/035 Multi-Class Classification Considerations.mp4 46MB
  70. 08 Convolutional Neural Networks - CNNs/067 CNN on CIFAR-10 - Part Two - Evaluating the Model.mp4 45MB
  71. 04 Pandas Crash Course/012 Pandas DataFrames - Part One.mp4 45MB
  72. 09 Recurrent Neural Networks - RNNs/084 RNN on a Time Series - Part One.mp4 45MB
  73. 04 Pandas Crash Course/014 Pandas Missing Data.mp4 44MB
  74. 11 AutoEncoders/097 Autoencoder Basics.mp4 43MB
  75. 09 Recurrent Neural Networks - RNNs/078 LSTMS and GRU.mp4 42MB
  76. 05 Visualization Crash Course/021 Matplotlib Basics.mp4 41MB
  77. 09 Recurrent Neural Networks - RNNs/080 RNN on a Sine Wave - The Data.mp4 40MB
  78. 06 Machine Learning Concepts Overview/026 Supervised Learning Overview.mp4 40MB
  79. 08 Convolutional Neural Networks - CNNs/065 CNN on MNIST - Part Three - Model Evaluation.mp4 38MB
  80. 04 Pandas Crash Course/011 Pandas Series.mp4 38MB
  81. 04 Pandas Crash Course/013 Pandas DataFrames - Part Two.mp4 37MB
  82. 07 Basic Artificial Neural Networks - ANNs/033 Neural Networks.mp4 36MB
  83. 10 Natural Language Processing/089 Introduction to NLP Section.mp4 35MB
  84. 11 AutoEncoders/101 Autoencoder Exercise Overview.mp4 34MB
  85. 09 Recurrent Neural Networks - RNNs/079 RNN Batches.mp4 33MB
  86. 09 Recurrent Neural Networks - RNNs/076 RNN Basic Theory.mp4 30MB
  87. 09 Recurrent Neural Networks - RNNs/086 RNN Exercise.mp4 30MB
  88. 07 Basic Artificial Neural Networks - ANNs/055 Keras Project Solutions - Creating and Training a Model.mp4 30MB
  89. 08 Convolutional Neural Networks - CNNs/068 Downloading Data Set for Real Image Lectures.mp4 28MB
  90. 06 Machine Learning Concepts Overview/025 What is Machine Learning.mp4 28MB
  91. 09 Recurrent Neural Networks - RNNs/077 Vanishing Gradients.mp4 28MB
  92. 08 Convolutional Neural Networks - CNNs/061 Pooling Layers.mp4 28MB
  93. 06 Machine Learning Concepts Overview/027 Overfitting.mp4 26MB
  94. 01 Course Overview Installs and Setup/001 Course Overview.mp4 26MB
  95. 04 Pandas Crash Course/010 Introduction to Pandas.mp4 25MB
  96. 07 Basic Artificial Neural Networks - ANNs/054 Keras Project Solutions - Data PreProcessing.mp4 24MB
  97. 06 Machine Learning Concepts Overview/029 Evaluating Performance - Regression Error Metrics.mp4 24MB
  98. 04 Pandas Crash Course/018 Pandas Exercises.mp4 23MB
  99. 13 Deployment/108 Introduction to Deployment.mp4 23MB
  100. 10 Natural Language Processing/091 NLP - Part Two - Text Processing.mp4 23MB
  101. 05 Visualization Crash Course/023 Data Visualization Exercises.mp4 23MB
  102. 10 Natural Language Processing/090 NLP - Part One - The Data.mp4 22MB
  103. 08 Convolutional Neural Networks - CNNs/062 MNIST Data Set Overview.mp4 21MB
  104. 11 AutoEncoders/096 Introduction to Autoencoders.mp4 21MB
  105. 13 Deployment/113 Flask API - Using Requests Programmatically.mp4 20MB
  106. 12 Generative Adversarial Networks/104 Creating a GAN - Part One- The Data.mp4 19MB
  107. 06 Machine Learning Concepts Overview/030 Unsupervised Learning.mp4 19MB
  108. 08 Convolutional Neural Networks - CNNs/073 CNN Exercise Overview.mp4 18MB
  109. 03 NumPy Crash Course/008 NumPy Exercises.mp4 12MB
  110. 03 NumPy Crash Course/004 Introduction to NumPy.mp4 11MB
  111. 09 Recurrent Neural Networks - RNNs/075 RNN Section Overview.mp4 11MB
  112. 07 Basic Artificial Neural Networks - ANNs/038 TensorFlow vs. Keras Explained.mp4 10MB
  113. 07 Basic Artificial Neural Networks - ANNs/031 Introduction to ANN Section.mp4 10MB
  114. 07 Basic Artificial Neural Networks - ANNs/048 TensorFlow 2.0 Keras Project Options Overview.mp4 8MB
  115. 08 Convolutional Neural Networks - CNNs/058 CNN Section Overview.mp4 8MB
  116. 05 Visualization Crash Course/020 Introduction to Python Visualization.mp4 7MB
  117. 01 Course Overview Installs and Setup/002 Course Setup and Installation.en.srt 35KB
  118. 12 Generative Adversarial Networks/106 Creating a GAN - Part Three - Model Training.en.srt 34KB
  119. 09 Recurrent Neural Networks - RNNs/087 RNN Exercise - Solutions.en.srt 32KB
  120. 09 Recurrent Neural Networks - RNNs/085 RNN on a Time Series - Part Two.en.srt 31KB
  121. 07 Basic Artificial Neural Networks - ANNs/057 Tensorboard.en.srt 29KB
  122. 11 AutoEncoders/098 Autoencoder for Dimensionality Reduction.en.srt 28KB
  123. 07 Basic Artificial Neural Networks - ANNs/050 Keras Project Solutions - Exploratory Data Analysis.en.srt 28KB
  124. 03 NumPy Crash Course/005 NumPy Arrays.en.srt 27KB
  125. 07 Basic Artificial Neural Networks - ANNs/036 Cost Functions and Gradient Descent.en.srt 27KB
  126. 13 Deployment/114 Flask Front End.en.srt 26KB
  127. 09 Recurrent Neural Networks - RNNs/088 Bonus - Multivariate Time Series - RNN and LSTMs.en.srt 26KB
  128. 07 Basic Artificial Neural Networks - ANNs/042 Keras Regression Code Along - Exploratory Data Analysis.en.srt 26KB
  129. 07 Basic Artificial Neural Networks - ANNs/053 Keras Project Solutions - Categorical Data.en.srt 25KB
  130. 06 Machine Learning Concepts Overview/028 Evaluating Performance - Classification Error Metrics.en.srt 25KB
  131. 05 Visualization Crash Course/022 Seaborn Basics.en.srt 24KB
  132. 13 Deployment/115 Live Deployment to the Web.en.srt 24KB
  133. 07 Basic Artificial Neural Networks - ANNs/047 Keras Classification - Dealing with Overfitting and Evaluation.en.srt 24KB
  134. 11 AutoEncoders/099 Autoencoder for Images - Part One.en.srt 23KB
  135. 08 Convolutional Neural Networks - CNNs/064 CNN on MNIST - Part Two - Creating and Training the Model.en.srt 23KB
  136. 08 Convolutional Neural Networks - CNNs/070 CNN on Real Image Files - Part Two - Data Processing.en.srt 23KB
  137. 13 Deployment/109 Creating the Model.en.srt 22KB
  138. 08 Convolutional Neural Networks - CNNs/060 Convolutional Layers.en.srt 21KB
  139. 09 Recurrent Neural Networks - RNNs/082 RNN on a Sine Wave - Creating the Model.en.srt 21KB
  140. 07 Basic Artificial Neural Networks - ANNs/051 Keras Project Solutions - Dealing with Missing Data.en.srt 20KB
  141. 07 Basic Artificial Neural Networks - ANNs/037 Backpropagation.en.srt 20KB
  142. 07 Basic Artificial Neural Networks - ANNs/040 Keras Syntax Basics - Part Two - Creating and Training the Model.en.srt 20KB
  143. 08 Convolutional Neural Networks - CNNs/069 CNN on Real Image Files - Part One - Reading in the Data.en.srt 20KB
  144. 08 Convolutional Neural Networks - CNNs/071 CNN on Real Image Files - Part Three - Creating the Model.en.srt 20KB
  145. 04 Pandas Crash Course/016 Pandas Operations.en.srt 19KB
  146. 07 Basic Artificial Neural Networks - ANNs/043 Keras Regression Code Along - Exploratory Data Analysis - Continued.en.srt 18KB
  147. 09 Recurrent Neural Networks - RNNs/083 RNN on a Sine Wave - LSTMs and Forecasting.en.srt 18KB
  148. 08 Convolutional Neural Networks - CNNs/059 Image Filters and Kernels.en.srt 18KB
  149. 10 Natural Language Processing/092 NLP - Part Three - Creating Batches.en.srt 18KB
  150. 08 Convolutional Neural Networks - CNNs/063 CNN on MNIST - Part One - The Data.en.srt 18KB
  151. 04 Pandas Crash Course/012 Pandas DataFrames - Part One.en.srt 17KB
  152. 12 Generative Adversarial Networks/105 Creating a GAN - Part Two - The Model.en.srt 17KB
  153. 07 Basic Artificial Neural Networks - ANNs/052 Keras Project Solutions - Dealing with Missing Data - Part Two.en.srt 17KB
  154. 04 Pandas Crash Course/017 Data Input and Output.en.srt 17KB
  155. 07 Basic Artificial Neural Networks - ANNs/041 Keras Syntax Basics - Part Three - Model Evaluation.en.srt 17KB
  156. 09 Recurrent Neural Networks - RNNs/078 LSTMS and GRU.en.srt 17KB
  157. 08 Convolutional Neural Networks - CNNs/066 CNN on CIFAR-10 - Part One - The Data.en.srt 16KB
  158. 07 Basic Artificial Neural Networks - ANNs/034 Activation Functions.en.srt 16KB
  159. 07 Basic Artificial Neural Networks - ANNs/035 Multi-Class Classification Considerations.en.srt 16KB
  160. 07 Basic Artificial Neural Networks - ANNs/045 Keras Regression Code Along - Model Evaluation and Predictions.en.srt 16KB
  161. 13 Deployment/111 Running a Basic Flask Application.en.srt 15KB
  162. 03 NumPy Crash Course/006 Numpy Index Selection.en.srt 15KB
  163. 04 Pandas Crash Course/014 Pandas Missing Data.en.srt 15KB
  164. 13 Deployment/112 Flask Postman API.en.srt 15KB
  165. 07 Basic Artificial Neural Networks - ANNs/039 Keras Syntax Basics - Part One - Preparing the Data.en.srt 15KB
  166. 07 Basic Artificial Neural Networks - ANNs/032 Perceptron Model.en.srt 15KB
  167. 10 Natural Language Processing/093 NLP - Part Four - Creating the Model.en.srt 14KB
  168. 04 Pandas Crash Course/015 GroupBy Operations.en.srt 14KB
  169. 11 AutoEncoders/102 Autoencoder Exercise - Solutions.en.srt 14KB
  170. 10 Natural Language Processing/094 NLP - Part Five - Training the Model.en.srt 14KB
  171. 04 Pandas Crash Course/013 Pandas DataFrames - Part Two.en.srt 14KB
  172. 09 Recurrent Neural Networks - RNNs/084 RNN on a Time Series - Part One.en.srt 14KB
  173. 07 Basic Artificial Neural Networks - ANNs/056 Keras Project Solutions - Model Evaluation.en.srt 13KB
  174. 05 Visualization Crash Course/021 Matplotlib Basics.en.srt 13KB
  175. 04 Pandas Crash Course/011 Pandas Series.en.srt 12KB
  176. 13 Deployment/110 Model Prediction Function.en.srt 12KB
  177. 07 Basic Artificial Neural Networks - ANNs/049 TensorFlow 2.0 Keras Project Notebook Overview.en.srt 12KB
  178. 06 Machine Learning Concepts Overview/026 Supervised Learning Overview.en.srt 12KB
  179. 09 Recurrent Neural Networks - RNNs/080 RNN on a Sine Wave - The Data.en.srt 12KB
  180. 08 Convolutional Neural Networks - CNNs/072 CNN on Real Image Files - Part Four - Evaluating the Model.en.srt 12KB
  181. 09 Recurrent Neural Networks - RNNs/079 RNN Batches.en.srt 12KB
  182. 06 Machine Learning Concepts Overview/027 Overfitting.en.srt 12KB
  183. 07 Basic Artificial Neural Networks - ANNs/044 Keras Regression Code Along - Data Preprocessing and Creating a Model.en.srt 12KB
  184. 12 Generative Adversarial Networks/103 GANs Overview.en.srt 12KB
  185. 03 NumPy Crash Course/007 NumPy Operations.en.srt 12KB
  186. 10 Natural Language Processing/095 NLP - Part Six - Generating Text.en.srt 12KB
  187. 08 Convolutional Neural Networks - CNNs/074 CNN Exercise Solutions.en.srt 12KB
  188. 11 AutoEncoders/097 Autoencoder Basics.en.srt 11KB
  189. 11 AutoEncoders/100 Autoencoder for Images - Part Two - Noise Removal.en.srt 11KB
  190. 09 Recurrent Neural Networks - RNNs/081 RNN on a Sine Wave - Batch Generator.en.srt 11KB
  191. 07 Basic Artificial Neural Networks - ANNs/046 Keras Classification Code Along - EDA and Preprocessing.en.srt 11KB
  192. 09 Recurrent Neural Networks - RNNs/077 Vanishing Gradients.en.srt 11KB
  193. 05 Visualization Crash Course/024 Data Visualization Exercises - Solutions.en.srt 11KB
  194. 07 Basic Artificial Neural Networks - ANNs/033 Neural Networks.en.srt 11KB
  195. 03 NumPy Crash Course/009 Numpy Exercises - Solutions.en.srt 11KB
  196. 08 Convolutional Neural Networks - CNNs/067 CNN on CIFAR-10 - Part Two - Evaluating the Model.en.srt 10KB
  197. 04 Pandas Crash Course/019 Pandas Exercises - Solutions.en.srt 10KB
  198. 08 Convolutional Neural Networks - CNNs/061 Pooling Layers.en.srt 10KB
  199. 12 Generative Adversarial Networks/107 DCGAN - Deep Convolutional Generative Adversarial Networks.en.srt 10KB
  200. 08 Convolutional Neural Networks - CNNs/065 CNN on MNIST - Part Three - Model Evaluation.en.srt 10KB
  201. 10 Natural Language Processing/089 Introduction to NLP Section.en.srt 9KB
  202. 08 Convolutional Neural Networks - CNNs/068 Downloading Data Set for Real Image Lectures.en.srt 9KB
  203. 06 Machine Learning Concepts Overview/029 Evaluating Performance - Regression Error Metrics.en.srt 8KB
  204. 06 Machine Learning Concepts Overview/025 What is Machine Learning.en.srt 8KB
  205. 01 Course Overview Installs and Setup/001 Course Overview.en.srt 7KB
  206. 06 Machine Learning Concepts Overview/030 Unsupervised Learning.en.srt 7KB
  207. 08 Convolutional Neural Networks - CNNs/062 MNIST Data Set Overview.en.srt 7KB
  208. 10 Natural Language Processing/090 NLP - Part One - The Data.en.srt 7KB
  209. 09 Recurrent Neural Networks - RNNs/086 RNN Exercise.en.srt 7KB
  210. 12 Generative Adversarial Networks/104 Creating a GAN - Part One- The Data.en.srt 6KB
  211. 01 Course Overview Installs and Setup/003 FAQ - Frequently Asked Questions.html 6KB
  212. 04 Pandas Crash Course/010 Introduction to Pandas.en.srt 6KB
  213. 10 Natural Language Processing/091 NLP - Part Two - Text Processing.en.srt 6KB
  214. 07 Basic Artificial Neural Networks - ANNs/055 Keras Project Solutions - Creating and Training a Model.en.srt 6KB
  215. 13 Deployment/113 Flask API - Using Requests Programmatically.en.srt 6KB
  216. 13 Deployment/108 Introduction to Deployment.en.srt 5KB
  217. 11 AutoEncoders/101 Autoencoder Exercise Overview.en.srt 5KB
  218. 05 Visualization Crash Course/023 Data Visualization Exercises.en.srt 5KB
  219. 07 Basic Artificial Neural Networks - ANNs/054 Keras Project Solutions - Data PreProcessing.en.srt 5KB
  220. 04 Pandas Crash Course/018 Pandas Exercises.en.srt 4KB
  221. 09 Recurrent Neural Networks - RNNs/075 RNN Section Overview.en.srt 4KB
  222. 08 Convolutional Neural Networks - CNNs/073 CNN Exercise Overview.en.srt 4KB
  223. 03 NumPy Crash Course/004 Introduction to NumPy.en.srt 3KB
  224. 07 Basic Artificial Neural Networks - ANNs/031 Introduction to ANN Section.en.srt 3KB
  225. 07 Basic Artificial Neural Networks - ANNs/038 TensorFlow vs. Keras Explained.en.srt 3KB
  226. 07 Basic Artificial Neural Networks - ANNs/048 TensorFlow 2.0 Keras Project Options Overview.en.srt 3KB
  227. 08 Convolutional Neural Networks - CNNs/058 CNN Section Overview.en.srt 2KB
  228. 03 NumPy Crash Course/008 NumPy Exercises.en.srt 2KB
  229. 05 Visualization Crash Course/020 Introduction to Python Visualization.en.srt 2KB
  230. Verify Files.txt 1KB
  231. 09 Recurrent Neural Networks - RNNs/external-assets-links.txt 403B
  232. 08 Convolutional Neural Networks - CNNs/external-assets-links.txt 163B
  233. 01 Course Overview Installs and Setup/002 requirements.txt 138B
  234. 07 Basic Artificial Neural Networks - ANNs/external-assets-links.txt 96B
  235. [FreeAllCourse.Com].url 52B