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Accelerating TensorFlow with the Google Machine Learning Engine

  • 收录时间:2018-08-23 16:53:30
  • 文件大小:340MB
  • 下载次数:152
  • 最近下载:2021-01-12 17:08:35
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文件列表

  1. 3.3. Training TensorFlow Applications/18.Linear regression in code - Part 2.mp4 22MB
  2. 5.5. Machine Learning with Estimators/33.Coding a DNN estimator - Part 2.mp4 17MB
  3. 5.5. Machine Learning with Estimators/35.Estimator automation in practice.mp4 16MB
  4. 5.5. Machine Learning with Estimators/32.Coding a DNN estimator - Part 1.mp4 15MB
  5. 4.4. Accessing Data with Datasets/26.Reading MNIST data in code.mp4 14MB
  6. 3.3. Training TensorFlow Applications/20.Using TensorBoard in practice.mp4 13MB
  7. 4.4. Accessing Data with Datasets/22.Coding with datasets and iterators.mp4 12MB
  8. 6.6. Deploying Estimators to the Machine Learning Engine/41.Deploying jobs to ML Engine.mp4 12MB
  9. 5.5. Machine Learning with Estimators/30.Coding a simple estimator - Part 2.mp4 11MB
  10. 3.3. Training TensorFlow Applications/15.Simple optimizer example.mp4 10MB
  11. 3.3. Training TensorFlow Applications/14.Using optimizers.mp4 10MB
  12. 2.2. Fundamentals of TensorFlow Development/11.Accessing graphs and sessions in code.mp4 9MB
  13. 5.5. Machine Learning with Estimators/28.Describing data with feature columns.mp4 9MB
  14. 6.6. Deploying Estimators to the Machine Learning Engine/36.Creating a GCP project.mp4 9MB
  15. 4.4. Accessing Data with Datasets/21.Datasets and iterators.mp4 9MB
  16. 5.5. Machine Learning with Estimators/27.Understanding estimators.mp4 8MB
  17. 6.6. Deploying Estimators to the Machine Learning Engine/37.Installing the Cloud SDK.mp4 8MB
  18. 4.4. Accessing Data with Datasets/24.Creating datasets from files.mp4 8MB
  19. 4.4. Accessing Data with Datasets/23.Dataset operations.mp4 8MB
  20. 3.3. Training TensorFlow Applications/12.Variables and logging.mp4 7MB
  21. 5.5. Machine Learning with Estimators/29.Coding a simple estimator - Part 1.mp4 7MB
  22. 2.2. Fundamentals of TensorFlow Development/07.Creating tensors.mp4 6MB
  23. 5.5. Machine Learning with Estimators/31.Estimators and neural networks.mp4 6MB
  24. 3.3. Training TensorFlow Applications/17.Linear regression in code - Part 1.mp4 6MB
  25. 6.6. Deploying Estimators to the Machine Learning Engine/40.Machine Learning Engine.mp4 6MB
  26. 3.3. Training TensorFlow Applications/13.Using variables in code.mp4 6MB
  27. 6.6. Deploying Estimators to the Machine Learning Engine/39.Accessing Cloud Storage in practice.mp4 6MB
  28. 1.1. Introducing TensorFlow/06.Running a simple application.mp4 6MB
  29. 4.4. Accessing Data with Datasets/25.Introducing MNIST images.mp4 5MB
  30. 5.5. Machine Learning with Estimators/34.Automating estimator operation.mp4 5MB
  31. 3.3. Training TensorFlow Applications/16.Batches and placeholders.mp4 5MB
  32. 3.3. Training TensorFlow Applications/19.TensorBoard.mp4 5MB
  33. 1.1. Introducing TensorFlow/04.Overview and installation.mp4 5MB
  34. 2.2. Fundamentals of TensorFlow Development/10.Understanding graphs and sessions.mp4 5MB
  35. 0.Introduction/01.Welcome.mp4 5MB
  36. 6.6. Deploying Estimators to the Machine Learning Engine/38.Introduction to Google Cloud Storage.mp4 5MB
  37. 2.2. Fundamentals of TensorFlow Development/08.Basic tensor operations.mp4 4MB
  38. 2.2. Fundamentals of TensorFlow Development/09.Advanced tensor operations.mp4 4MB
  39. 1.1. Introducing TensorFlow/05.Getting started.mp4 4MB
  40. 7.Conclusion/42.Next steps.mp4 3MB
  41. 0.Introduction/02.What you should know.mp4 3MB
  42. 0.Introduction/03.Using the exercise files.mp4 2MB
  43. 3.3. Training TensorFlow Applications/14.Using optimizers.en.srt 13KB
  44. 5.5. Machine Learning with Estimators/28.Describing data with feature columns.en.srt 12KB
  45. 4.4. Accessing Data with Datasets/21.Datasets and iterators.en.srt 11KB
  46. 5.5. Machine Learning with Estimators/32.Coding a DNN estimator - Part 1.en.srt 11KB
  47. 5.5. Machine Learning with Estimators/27.Understanding estimators.en.srt 11KB
  48. 4.4. Accessing Data with Datasets/24.Creating datasets from files.en.srt 10KB
  49. 3.3. Training TensorFlow Applications/18.Linear regression in code - Part 2.en.srt 10KB
  50. 3.3. Training TensorFlow Applications/12.Variables and logging.en.srt 9KB
  51. 3.3. Training TensorFlow Applications/20.Using TensorBoard in practice.en.srt 9KB
  52. 4.4. Accessing Data with Datasets/23.Dataset operations.en.srt 9KB
  53. 6.6. Deploying Estimators to the Machine Learning Engine/41.Deploying jobs to ML Engine.en.srt 8KB
  54. 2.2. Fundamentals of TensorFlow Development/07.Creating tensors.en.srt 8KB
  55. 5.5. Machine Learning with Estimators/35.Estimator automation in practice.en.srt 8KB
  56. 5.5. Machine Learning with Estimators/33.Coding a DNN estimator - Part 2.en.srt 8KB
  57. 4.4. Accessing Data with Datasets/22.Coding with datasets and iterators.en.srt 8KB
  58. 3.3. Training TensorFlow Applications/15.Simple optimizer example.en.srt 7KB
  59. 5.5. Machine Learning with Estimators/31.Estimators and neural networks.en.srt 7KB
  60. 6.6. Deploying Estimators to the Machine Learning Engine/36.Creating a GCP project.en.srt 7KB
  61. 3.3. Training TensorFlow Applications/16.Batches and placeholders.en.srt 7KB
  62. 4.4. Accessing Data with Datasets/26.Reading MNIST data in code.en.srt 7KB
  63. 2.2. Fundamentals of TensorFlow Development/10.Understanding graphs and sessions.en.srt 7KB
  64. 3.3. Training TensorFlow Applications/19.TensorBoard.en.srt 7KB
  65. 3.3. Training TensorFlow Applications/17.Linear regression in code - Part 1.en.srt 7KB
  66. 5.5. Machine Learning with Estimators/34.Automating estimator operation.en.srt 6KB
  67. 2.2. Fundamentals of TensorFlow Development/11.Accessing graphs and sessions in code.en.srt 6KB
  68. 6.6. Deploying Estimators to the Machine Learning Engine/40.Machine Learning Engine.en.srt 6KB
  69. 4.4. Accessing Data with Datasets/25.Introducing MNIST images.en.srt 6KB
  70. 5.5. Machine Learning with Estimators/30.Coding a simple estimator - Part 2.en.srt 6KB
  71. 5.5. Machine Learning with Estimators/29.Coding a simple estimator - Part 1.en.srt 6KB
  72. 6.6. Deploying Estimators to the Machine Learning Engine/37.Installing the Cloud SDK.en.srt 6KB
  73. 1.1. Introducing TensorFlow/04.Overview and installation.en.srt 6KB
  74. 2.2. Fundamentals of TensorFlow Development/08.Basic tensor operations.en.srt 6KB
  75. 2.2. Fundamentals of TensorFlow Development/09.Advanced tensor operations.en.srt 5KB
  76. 6.6. Deploying Estimators to the Machine Learning Engine/38.Introduction to Google Cloud Storage.en.srt 5KB
  77. 3.3. Training TensorFlow Applications/13.Using variables in code.en.srt 5KB
  78. 1.1. Introducing TensorFlow/05.Getting started.en.srt 5KB
  79. 6.6. Deploying Estimators to the Machine Learning Engine/39.Accessing Cloud Storage in practice.en.srt 4KB
  80. 1.1. Introducing TensorFlow/06.Running a simple application.en.srt 3KB
  81. 0.Introduction/02.What you should know.en.srt 3KB
  82. 7.Conclusion/42.Next steps.en.srt 2KB
  83. 0.Introduction/03.Using the exercise files.en.srt 2KB
  84. 0.Introduction/01.Welcome.en.srt 2KB