LostTech.TensorFlow : API Documentation

Type LayerNormalization

Namespace tensorflow.keras.layers

Parent Layer

Interfaces ILayerNormalization

Layer normalization layer (Ba et al., 2016).

Normalize the activations of the previous layer for each given example in a batch independently, rather than across a batch like Batch Normalization. i.e. applies a transformation that maintains the mean activation within each example close to 0 and the activation standard deviation close to 1.

Methods

Properties

Public static methods

LayerNormalization NewDyn(ImplicitContainer<T> axis, ImplicitContainer<T> epsilon, ImplicitContainer<T> center, ImplicitContainer<T> scale, ImplicitContainer<T> beta_initializer, ImplicitContainer<T> gamma_initializer, object beta_regularizer, object gamma_regularizer, object beta_constraint, object gamma_constraint, ImplicitContainer<T> trainable, object name, IDictionary<string, object> kwargs)

Public properties

PythonFunctionContainer activity_regularizer get; set;

object activity_regularizer_dyn get; set;

object axis get; set;

object beta get; set;

object beta_constraint get; set;

object beta_initializer get; set;

object beta_regularizer get; set;

bool built get; set;

bool center get; set;

object dtype get;

object dtype_dyn get;

bool dynamic get;

object dynamic_dyn get;

double epsilon get; set;

object gamma get; set;

object gamma_constraint get; set;

object gamma_initializer get; set;

object gamma_regularizer get; set;

IList<Node> inbound_nodes get;

object inbound_nodes_dyn get;

IList<object> input get;

object input_dyn get;

object input_mask get;

object input_mask_dyn get;

IList<object> input_shape get;

object input_shape_dyn get;

object input_spec get; set;

object input_spec_dyn get; set;

IList<object> losses get;

object losses_dyn get;

IList<object> metrics get;

object metrics_dyn get;

object name get;

object name_dyn get;

object name_scope get;

object name_scope_dyn get;

IList<object> non_trainable_variables get;

object non_trainable_variables_dyn get;

IList<object> non_trainable_weights get;

object non_trainable_weights_dyn get;

IList<object> outbound_nodes get;

object outbound_nodes_dyn get;

IList<object> output get;

object output_dyn get;

object output_mask get;

object output_mask_dyn get;

object output_shape get;

object output_shape_dyn get;

object PythonObject get;

bool scale get; set;

bool stateful get; set;

ValueTuple<object> submodules get;

object submodules_dyn get;

bool supports_masking get; set;

bool trainable get; set;

object trainable_dyn get; set;

object trainable_variables get;

object trainable_variables_dyn get;

IList<object> trainable_weights get;

object trainable_weights_dyn get;

IList<object> updates get;

object updates_dyn get;

object variables get;

object variables_dyn get;

IList<object> weights get;

object weights_dyn get;