Google Git
Sign in
chromium / external / github.com / tensorflow / tensorflow / refs/tags/v2.6.0 / . / tensorflow / python / keras
tree: dd327429e0e3d0fb99c3c1cf6f6bbd96eaada3ff [path history] [tgz]
  1. api/
  2. applications/
  3. benchmarks/
  4. datasets/
  5. distribute/
  6. engine/
  7. estimator/
  8. feature_column/
  9. initializers/
  10. integration_test/
  11. layers/
  12. legacy_tf_layers/
  13. mixed_precision/
  14. optimizer_v2/
  15. premade/
  16. preprocessing/
  17. protobuf/
  18. saving/
  19. tests/
  20. type/
  21. utils/
  22. wrappers/
  23. __init__.py
  24. activations.py
  25. activations_test.py
  26. backend.py
  27. backend_config.py
  28. backend_config_test.py
  29. backend_test.py
  30. BUILD
  31. callbacks.py
  32. callbacks_test.py
  33. callbacks_v1.py
  34. callbacks_v1_test.py
  35. combinations.py
  36. combinations_test.py
  37. constraints.py
  38. constraints_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. optimizer_v1.py
  51. optimizers.py
  52. optimizers_test.py
  53. README.md
  54. regularizers.py
  55. regularizers_test.py
  56. 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.