Module: tf.keras

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This file was autogenerated. Do not edit it by hand, since your modifications would be overwritten.

Modules

activations module: DO NOT EDIT.

applications module: DO NOT EDIT.

backend module: DO NOT EDIT.

callbacks module: DO NOT EDIT.

config module: DO NOT EDIT.

constraints module: DO NOT EDIT.

datasets module: DO NOT EDIT.

distribution module: DO NOT EDIT.

dtype_policies module: DO NOT EDIT.

export module: DO NOT EDIT.

initializers module: DO NOT EDIT.

layers module: DO NOT EDIT.

legacy module: DO NOT EDIT.

losses module: DO NOT EDIT.

metrics module: DO NOT EDIT.

mixed_precision module: DO NOT EDIT.

models module: DO NOT EDIT.

ops module: DO NOT EDIT.

optimizers module: DO NOT EDIT.

preprocessing module: DO NOT EDIT.

quantizers module: DO NOT EDIT.

random module: DO NOT EDIT.

regularizers module: DO NOT EDIT.

tree module: DO NOT EDIT.

utils module: DO NOT EDIT.

Classes

class DTypePolicy: A dtype policy for a Keras layer.

class FloatDTypePolicy: A dtype policy for a Keras layer.

class Function: Class that encapsulates a computation graph of Keras operations.

class Initializer: Initializer base class: all Keras initializers inherit from this class.

class InputSpec: Specifies the rank, dtype and shape of every input to a layer.

class KerasTensor: Symbolic tensor -- encapsulates a shape and a dtype.

class Layer: This is the class from which all layers inherit.

class Loss: Loss base class.

class Metric: Encapsulates metric logic and state.

class Model: A model grouping layers into an object with training/inference features.

class Operation

class Optimizer: A class for Tensorflow specific optimizer logic.

class Quantizer

class Regularizer: Regularizer base class.

class Sequential: Sequential groups a linear stack of layers into a Model.

class StatelessScope: Scope to prevent any update to Keras Variables.

class Variable: Represents a backend-agnostic variable in Keras.

class name_scope: Creates a sub-namespace for variable paths.

Functions

Input(...): Used to instantiate a Keras tensor.

device(...)

version(...)

version '3.3.3'