Module: tf.keras

Implementation of the Keras API meant to be a high-level API for TensorFlow.


  • Module tf.compat.v2.keras

Detailed documentation and user guides are available at .


activations module: Built-in activation functions.

applications module: Keras Applications are canned architectures with pre-trained weights.

backend金坛期货配资 module: Keras backend API.

callbacks module: Callbacks: utilities called at certain points during model training.

constraints金坛期货配资 module: Constraints: functions that impose constraints on weight values.

datasets module: Keras built-in datasets.

estimator module: Keras estimator API.

experimental module: Public API for tf.keras.experimental namespace.

initializers金坛期货配资 module: Keras initializer serialization / deserialization.

layers module: Keras layers API.

losses module: Built-in loss functions.

metrics module: Built-in metrics.

mixed_precision module: Public API for tf.keras.mixed_precision namespace.

models module: Code for model cloning, plus model-related API entries.

optimizers金坛期货配资 module: Built-in optimizer classes.

preprocessing金坛期货配资 module: Keras data preprocessing utils.

regularizers module: Built-in regularizers.

utils金坛期货配资 module: Keras utilities.

wrappers module: Wrappers for Keras models, providing compatibility with other frameworks.


class Model: Model groups layers into an object with training and inference features.

class Sequential: Linear stack of layers.


Input(...): Input()金坛期货配资 is used to instantiate a Keras tensor.

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