Package keras
Implementation of the Keras API, the high-level API of TensorFlow.
Detailed documentation and user guides are available at keras.io.
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# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Implementation of the Keras API, the high-level API of TensorFlow.
Detailed documentation and user guides are available at
[keras.io](https://keras.io).
"""
# pylint: disable=unused-import
from tensorflow.python import tf2
from keras import distribute
# See b/110718070#comment18 for more details about this import.
from keras import models
from keras.engine.input_layer import Input
from keras.engine.sequential import Sequential
from keras.engine.training import Model
from tensorflow.python.util.tf_export import keras_export
__version__ = '2.6.0'
keras_export('keras.__version__').export_constant(__name__, '__version__')
Sub-modules
keras.activations
-
Built-in activation functions.
keras.api
-
Public API for tf. namespace.
keras.applications
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Keras Applications are canned architectures with pre-trained weights.
keras.backend
-
Keras backend API.
keras.backend_config
-
Keras backend config API.
keras.callbacks
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Callbacks: utilities called at certain points during model training.
keras.callbacks_v1
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Callbacks: utilities called at certain points during model training.
keras.combinations
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This module customizes
test_combinations
fortf.keras
related tests. keras.constraints
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Constraints: functions that impose constraints on weight values.
keras.datasets
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Small NumPy datasets for debugging/testing.
keras.distribute
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Keras' Distribution Strategy library.
keras.engine
keras.estimator
-
Keras estimator API.
keras.feature_column
keras.initializers
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Keras initializer serialization / deserialization.
keras.integration_test
keras.keras_parameterized
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Utilities for unit-testing Keras.
keras.layers
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Keras layers API.
keras.legacy_tf_layers
keras.losses
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Built-in loss functions.
keras.metrics
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Built-in metrics.
keras.mixed_precision
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Keras mixed precision API …
keras.models
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Code for model cloning, plus model-related API entries.
keras.optimizer_v1
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Legacy v1 optimizer classes …
keras.optimizer_v2
keras.optimizers
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Built-in optimizer classes …
keras.premade
-
Premade Model API.
keras.preprocessing
-
Provides keras data preprocessing utils to pre-process tf.data.Datasets before they are fed to the model.
keras.protobuf
keras.regularizers
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Built-in regularizers.
keras.saving
keras.testing_utils
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Utilities for unit-testing Keras.
keras.tests
keras.type
keras.utils
keras.wrappers