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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 Optimizer: A class for Tensorflow specific optimizer logic.
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.
Other Members | |
|---|---|
| version |
'3.3.3'
|