dlpy.layers.LayerNormalization

class dlpy.layers.LayerNormalization(name=None, act='AUTO', epsilon=1e-12, dropout=None, src_layers=None, **kwargs)

Layer normalization layer

Parameters

namestring, optional

Specifies the name of the layer.

actstring, optional

Specifies the activation function. Valid Values: AUTO, IDENTITY, LOGISTIC, SIGMOID, EXP, TANH, RECTIFIER, RELU, GELU Default: AUTO

epsilonfloat, optional

Specifies the regularization constant. Default: 1e-12

dropoutfloat, optional

Specifies the dropout rate. Default: 0

src_layersiter-of-Layers, optional

Specifies the layers directed to this layer.

Returns

LayerNormalization

__init__(name=None, act='AUTO', epsilon=1e-12, dropout=None, src_layers=None, **kwargs)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__([name, act, epsilon, dropout, …])	Initialize self.
count_instances()
format_name([block_num, local_count])	Format the name of the layer
get_number_of_instances()
to_model_params()	Convert the model configuration to CAS action parameters

Attributes

can_be_last_layer
kernel_size
layer_id
num_bias
num_features
num_weights
number_of_instances
output_size
rnn_summary	Return a DataFrame containing the layer information for rnn models
summary	Return a DataFrame containing the layer information
type
type_desc
type_label