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Lynda Building and Deploying Deep Learning Applications with TensorFlow

  • 收录时间:2018-08-24 09:37:50
  • 文件大小:274MB
  • 下载次数:137
  • 最近下载:2021-01-04 19:08:18
  • 磁力链接:

文件列表

  1. 4. 3. Creating a TensorFlow Model/13. Define the model structure.mp4 27MB
  2. 5. 4. Training a Model in TensorFlow/16. Log.mp4 25MB
  3. 4. 3. Creating a TensorFlow Model/12. Load the data set.mp4 23MB
  4. 2. 1. Setting Up TensorFlow/05. Install TensorFlow on Windows.mp4 20MB
  5. 7. 6. Using a Trained TensorFlow/21. Export models for use in production.mp4 16MB
  6. 6. 5. TensorBoard/19. Visualize training runs.mp4 16MB
  7. 6. 5. TensorBoard/18. Visualize the computational graph.mp4 14MB
  8. 7. 6. Using a Trained TensorFlow/23. Host your model in the cloud with Google Cloud.mp4 13MB
  9. 5. 4. Training a Model in TensorFlow/15. Train.mp4 13MB
  10. 7. 6. Using a Trained TensorFlow/24. Use a model in the cloud.mp4 12MB
  11. 2. 1. Setting Up TensorFlow/04. Install TensorFlow on macOS.mp4 11MB
  12. 3. 2. TensorFlow Overview/10. Build a simple model in TensorFlow.mp4 11MB
  13. 6. 5. TensorBoard/20. Add custom visualizations to TensorBoard.mp4 10MB
  14. 4. 3. Creating a TensorFlow Model/14. Set up the model training loop.mp4 9MB
  15. 3. 2. TensorFlow Overview/09. The train_test_evaluation flow in TensorFlow.mp4 9MB
  16. 5. 4. Training a Model in TensorFlow/17. Save and load trained models.mp4 9MB
  17. 7. 6. Using a Trained TensorFlow/22. Configure a new Google Cloud account.mp4 9MB
  18. 4. 3. Creating a TensorFlow Model/11. Options for loading data.mp4 7MB
  19. 1. Introduction/01. Welcome.mp4 5MB
  20. 3. 2. TensorFlow Overview/08. Hardware, software, and language requirements.mp4 5MB
  21. 3. 2. TensorFlow Overview/06. What is TensorFlow.mp4 5MB
  22. 3. 2. TensorFlow Overview/07. Why is it called TensorFlow.mp4 2MB
  23. 1. Introduction/03. Using the exercise files.mp4 963KB
  24. 8. Conclusion/25. Next steps.mp4 960KB
  25. 1. Introduction/02. What you should know.mp4 653KB
  26. Exercise Files/sales_data_training.numbers 316KB
  27. Exercise Files/sales_data_test.numbers 234KB
  28. Exercise Files/03/sales_data_training.csv 30KB
  29. Exercise Files/04/sales_data_training.csv 30KB
  30. Exercise Files/05/sales_data_training.csv 30KB
  31. Exercise Files/06/sales_data_training.csv 30KB
  32. 4. 3. Creating a TensorFlow Model/13. Define the model structure.en.srt 21KB
  33. 5. 4. Training a Model in TensorFlow/16. Log.en.srt 14KB
  34. 4. 3. Creating a TensorFlow Model/12. Load the data set.en.srt 14KB
  35. Exercise Files/03/sales_data_test.csv 12KB
  36. Exercise Files/04/sales_data_test.csv 12KB
  37. Exercise Files/05/sales_data_test.csv 12KB
  38. Exercise Files/06/sales_data_test.csv 12KB
  39. 3. 2. TensorFlow Overview/09. The train_test_evaluation flow in TensorFlow.en.srt 12KB
  40. 2. 1. Setting Up TensorFlow/05. Install TensorFlow on Windows.en.srt 11KB
  41. 3. 2. TensorFlow Overview/10. Build a simple model in TensorFlow.en.srt 10KB
  42. 7. 6. Using a Trained TensorFlow/23. Host your model in the cloud with Google Cloud.en.srt 10KB
  43. 4. 3. Creating a TensorFlow Model/11. Options for loading data.en.srt 9KB
  44. 7. 6. Using a Trained TensorFlow/21. Export models for use in production.en.srt 9KB
  45. 6. 5. TensorBoard/19. Visualize training runs.en.srt 9KB
  46. 6. 5. TensorBoard/18. Visualize the computational graph.en.srt 8KB
  47. 6. 5. TensorBoard/20. Add custom visualizations to TensorBoard.en.srt 8KB
  48. 7. 6. Using a Trained TensorFlow/24. Use a model in the cloud.en.srt 7KB
  49. Exercise Files/06/export_model_for_cloud final.py 7KB
  50. Exercise Files/06/export_model_for_cloud.py 7KB
  51. Exercise Files/04/model_checkpoints final.py 7KB
  52. Exercise Files/04/model_checkpoints.py 7KB
  53. Exercise Files/04/model_logging final.py 7KB
  54. Exercise Files/05/train_model.py 7KB
  55. 3. 2. TensorFlow Overview/06. What is TensorFlow.en.srt 7KB
  56. 5. 4. Training a Model in TensorFlow/15. Train.en.srt 6KB
  57. Exercise Files/04/model_logging.py 6KB
  58. 2. 1. Setting Up TensorFlow/04. Install TensorFlow on macOS.en.srt 6KB
  59. Exercise Files/05/custom_visualization final.py 6KB
  60. 7. 6. Using a Trained TensorFlow/22. Configure a new Google Cloud account.en.srt 6KB
  61. Exercise Files/05/custom_visualization.py 6KB
  62. Exercise Files/05/visualize_training final.py 6KB
  63. Exercise Files/05/visualize_training.py 6KB
  64. 3. 2. TensorFlow Overview/08. Hardware, software, and language requirements.en.srt 6KB
  65. 4. 3. Creating a TensorFlow Model/14. Set up the model training loop.en.srt 5KB
  66. Exercise Files/04/load_checkpoint final.py 5KB
  67. Exercise Files/04/load_checkpoint.py 5KB
  68. Exercise Files/04/training final.py 5KB
  69. Exercise Files/03/training_loop final.py 4KB
  70. Exercise Files/04/training.py 4KB
  71. Exercise Files/03/training_loop.py 4KB
  72. 5. 4. Training a Model in TensorFlow/17. Save and load trained models.en.srt 4KB
  73. Exercise Files/03/model final.py 4KB
  74. 3. 2. TensorFlow Overview/07. Why is it called TensorFlow.en.srt 3KB
  75. Exercise Files/03/model.py 2KB
  76. 1. Introduction/01. Welcome.en.srt 2KB
  77. Exercise Files/03/load_data final.py 1KB
  78. 1. Introduction/03. Using the exercise files.en.srt 1KB
  79. Exercise Files/06/call_cloud_service final.py 964B
  80. Exercise Files/03/load_data.py 961B
  81. Exercise Files/06/call_cloud_service.py 951B
  82. 1. Introduction/02. What you should know.en.srt 940B
  83. 8. Conclusion/25. Next steps.en.srt 584B
  84. Exercise Files/02/addition final.py 437B
  85. Exercise Files/02/addition.py 269B
  86. Exercise Files/requirements.txt 85B
  87. Exercise Files/06/sample_input_prescaled.json 62B