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api
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applications
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datasets
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distribute
distribute
 
 
engine
engine
 
 
estimator
estimator
 
 
layers
layers
 
 
mixed_precision/experimental
mixed_precision/experimental
 
 
optimizer_v2
optimizer_v2
 
 
premade
premade
 
 
preprocessing
preprocessing
 
 
saving
saving
 
 
utils
utils
 
 
wrappers
wrappers
 
 
BUILD
BUILD
 
 
README.md
README.md
 
 
__init__.py
__init__.py
 
 
activations.py
activations.py
 
 
activations_test.py
activations_test.py
 
 
backend.py
backend.py
 
 
backend_config.py
backend_config.py
 
 
backend_config_test.py
backend_config_test.py
 
 
backend_test.py
backend_test.py
 
 
callbacks.py
callbacks.py
 
 
callbacks_test.py
callbacks_test.py
 
 
callbacks_v1.py
callbacks_v1.py
 
 
callbacks_v1_test.py
callbacks_v1_test.py
 
 
constraints.py
constraints.py
 
 
constraints_test.py
constraints_test.py
 
 
custom_training_loop_test.py
custom_training_loop_test.py
 
 
initializers.py
initializers.py
 
 
initializers_test.py
initializers_test.py
 
 
integration_test.py
integration_test.py
 
 
keras_parameterized.py
keras_parameterized.py
 
 
keras_parameterized_test.py
keras_parameterized_test.py
 
 
losses.py
losses.py
 
 
losses_test.py
losses_test.py
 
 
metrics.py
metrics.py
 
 
metrics_confusion_matrix_test.py
metrics_confusion_matrix_test.py
 
 
metrics_correctness_test.py
metrics_correctness_test.py
 
 
metrics_functional_test.py
metrics_functional_test.py
 
 
metrics_test.py
metrics_test.py
 
 
model_subclassing_test.py
model_subclassing_test.py
 
 
models.py
models.py
 
 
models_test.py
models_test.py
 
 
ops.py
ops.py
 
 
optimizers.py
optimizers.py
 
 
optimizers_test.py
optimizers_test.py
 
 
regularizers.py
regularizers.py
 
 
regularizers_test.py
regularizers_test.py
 
 
temporal_sample_weights_correctness_test.py
temporal_sample_weights_correctness_test.py
 
 
testing_utils.py
testing_utils.py
 
 

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.