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chromium / external / github.com / tensorflow / tensorflow / 4a04efecd5a96809744e57ac35eb99482de7aaf5 / . / tensorflow / python / keras
tree: 3ca5d19e0cca34959a912a374fb040649f826b67 [path history] [tgz]
  1. api/
  2. applications/
  3. benchmarks/
  4. datasets/
  5. distribute/
  6. engine/
  7. estimator/
  8. feature_column/
  9. initializers/
  10. layers/
  11. legacy_tf_layers/
  12. mixed_precision/
  13. optimizer_v2/
  14. premade/
  15. preprocessing/
  16. protobuf/
  17. saving/
  18. type/
  19. utils/
  20. wrappers/
  21. __init__.py
  22. activations.py
  23. activations_test.py
  24. backend.py
  25. backend_config.py
  26. backend_config_test.py
  27. backend_test.py
  28. BUILD
  29. callbacks.py
  30. callbacks_test.py
  31. callbacks_v1.py
  32. callbacks_v1_test.py
  33. combinations.py
  34. combinations_test.py
  35. constraints.py
  36. constraints_test.py
  37. keras_parameterized.py
  38. keras_parameterized_test.py
  39. losses.py
  40. losses_test.py
  41. metrics.py
  42. metrics_confusion_matrix_test.py
  43. metrics_correctness_test.py
  44. metrics_functional_test.py
  45. metrics_test.py
  46. models.py
  47. models_test.py
  48. optimizer_v1.py
  49. optimizers.py
  50. optimizers_test.py
  51. README.md
  52. regularizers.py
  53. regularizers_test.py
  54. 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.