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chromium / external / github.com / tensorflow / tensorflow / f7d038cc3b8398b2e88c3fafda0670dafe293220 / . / tensorflow / python / keras
tree: 4dab3a361b297ea52da270a59c20a10989127f64 [path history] [tgz]
  1. api/
  2. applications/
  3. datasets/
  4. distribute/
  5. engine/
  6. estimator/
  7. feature_column/
  8. initializers/
  9. integration_test/
  10. layers/
  11. legacy_tf_layers/
  12. mixed_precision/
  13. optimizer_v2/
  14. premade/
  15. preprocessing/
  16. protobuf/
  17. saving/
  18. tests/
  19. type/
  20. utils/
  21. wrappers/
  22. __init__.py
  23. activations.py
  24. activations_test.py
  25. backend.py
  26. backend_config.py
  27. backend_config_test.py
  28. backend_test.py
  29. BUILD
  30. callbacks.py
  31. callbacks_test.py
  32. callbacks_v1.py
  33. callbacks_v1_test.py
  34. combinations.py
  35. combinations_test.py
  36. constraints.py
  37. constraints_test.py
  38. initializers_test.py
  39. keras_parameterized.py
  40. keras_parameterized_test.py
  41. losses.py
  42. losses_test.py
  43. metrics.py
  44. metrics_confusion_matrix_test.py
  45. metrics_correctness_test.py
  46. metrics_functional_test.py
  47. metrics_test.py
  48. models.py
  49. models_test.py
  50. optimizers.py
  51. optimizers_test.py
  52. README.md
  53. regularizers.py
  54. regularizers_test.py
  55. testing_utils.py
tensorflow/python/keras/README.md

Keras is an object-oriented API for defining and training neural networks.

This module contains a pure-TensorFlow implementation of the Keras API, allowing for deep integration with TensorFlow functionality.

See keras.io for complete documentation and user guides.

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