Module: tf.compat.v1.keras  |  TensorFlow v2.16.1 (original) (raw)

Module: tf.compat.v1.keras

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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(...)