DO NOT EDIT.
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 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'
|