DO NOT EDIT. This file was autogenerated. Do not edit it by hand, since your modifications would be overwritten. ## Classes [`class DTypePolicy`](https://www.tensorflow.org/api_docs/python/tf/keras/DTypePolicy): A dtype policy for a Keras layer. [`class FloatDTypePolicy`](https://www.tensorflow.org/api_docs/python/tf/keras/FloatDTypePolicy): A dtype policy for a Keras layer. [`class Function`](https://www.tensorflow.org/api_docs/python/tf/keras/Function): Class that encapsulates a computation graph of Keras operations. [`class Initializer`](https://www.tensorflow.org/api_docs/python/tf/keras/Initializer): Initializer base class: all Keras initializers inherit from this class. [`class InputSpec`](https://www.tensorflow.org/api_docs/python/tf/keras/InputSpec): Specifies the rank, dtype and shape of every input to a layer. [`class KerasTensor`](https://www.tensorflow.org/api_docs/python/tf/keras/KerasTensor): Symbolic tensor -- encapsulates a shape and a dtype. [`class Layer`](https://www.tensorflow.org/api_docs/python/tf/keras/Layer): This is the class from which all layers inherit. [`class Loss`](https://www.tensorflow.org/api_docs/python/tf/keras/Loss): Loss base class. [`class Metric`](https://www.tensorflow.org/api_docs/python/tf/keras/Metric): Encapsulates metric logic and state. [`class Model`](https://www.tensorflow.org/api_docs/python/tf/keras/Model): A model grouping layers into an object with training/inference features. [`class Operation`](https://www.tensorflow.org/api_docs/python/tf/keras/Operation) [`class Optimizer`](https://www.tensorflow.org/api_docs/python/tf/keras/Optimizer): Abstract optimizer base class. [`class Quantizer`](https://www.tensorflow.org/api_docs/python/tf/keras/Quantizer) [`class Regularizer`](https://www.tensorflow.org/api_docs/python/tf/keras/Regularizer): Regularizer base class. [`class RematScope`](https://www.tensorflow.org/api_docs/python/tf/keras/RematScope): A context manager for enabling rematerialization in Keras. [`class Sequential`](https://www.tensorflow.org/api_docs/python/tf/keras/Sequential): `Sequential` groups a linear stack of layers into a `Model`. [`class StatelessScope`](https://www.tensorflow.org/api_docs/python/tf/keras/StatelessScope): Scope to prevent any update to Keras Variables. [`class SymbolicScope`](https://www.tensorflow.org/api_docs/python/tf/keras/SymbolicScope): Scope to indicate the symbolic stage. [`class Variable`](https://www.tensorflow.org/api_docs/python/tf/keras/Variable): Represents a backend-agnostic variable in Keras. [`class name_scope`](https://www.tensorflow.org/api_docs/python/tf/keras/name_scope): Creates a sub-namespace for variable paths. ## Functions [`Input(...)`](https://www.tensorflow.org/api_docs/python/tf/keras/Input): Used to instantiate a Keras tensor. [`device(...)`](https://www.tensorflow.org/api_docs/python/tf/keras/device): Context manager for backend-agnostic device placement. [`remat(...)`](https://www.tensorflow.org/api_docs/python/tf/keras/remat): Applies rematerialization to a function or layer for memory optimization. [`version(...)`](https://www.tensorflow.org/api_docs/python/tf/keras/version)


| ## Other Members || |---|---| | **version** | `'3.15.1'` |