dlpy.layers.GroupConv2d

class dlpy.layers.GroupConv2d(n_filters, n_groups=1, width=None, height=None, stride=1, name=None, stride_horizontal=None, stride_vertical=None, padding=None, padding_width=None, padding_height=None, act='relu', fcmp_act=None, init=None, std=None, mean=None, truncation_factor=None, init_bias=None, dropout=None, include_bias=True, src_layers=None, **kwargs)

Group Convolution layer in 2D

Parameters

n_filtersint

Specifies the number of filters for the layer.

n_groupsint

Specifies the number of groups for the layer.

widthint

Specifies the width of the kernel.

heightint

Specifies the height of the kernel.

strideint, optional

Specifies the step size for the moving window of the kernel over the input data. Default: 1

namestring, optional

Specifies the name of the convolution layer.

stride_horizontalint, optional

Specifies the horizontal stride.

stride_verticalint, optional

Specifies the vertical stride.

paddingint, optional

Specifies the padding size, assuming equal padding vertically and horizontally.

padding_widthint, optional

Specifies the length of the horizontal padding.

padding_heightint, optional

Specifies the length of the vertical padding.

actstring, optional

Specifies the activation function. Valid Values: AUTO, IDENTITY, LOGISTIC, SIGMOID, TANH, RECTIFIER, RELU, SOFPLUS, ELU, LEAKY, FCMP Default: RELU

fcmp_actstring, optional

Specifies the FCMP activation function for the layer.

initstring, optional

Specifies the initialization scheme for the layer. Valid Values: XAVIER, UNIFORM, NORMAL, CAUCHY, XAVIER1, XAVIER2, MSRA, MSRA1, MSRA2 Default: XAVIER

stdfloat, optional

Specifies the standard deviation value when the init parameter is set to NORMAL.

meanfloat, optional

Specifies the mean value when the init parameter is set to NORMAL.

truncation_factorfloat, optional

Specifies the truncation threshold (truncationFactor x std), when the init parameter is set to NORMAL

init_biasfloat, optional

Specifies the initial bias for the layer.

dropoutfloat, optional

Specifies the dropout rate. Default: 0

include_biasbool, optional

Includes bias neurons (default).

src_layersiter-of-Layers, optional

Specifies the layers directed to this layer.

Returns

GroupConv2d

__init__(n_filters, n_groups=1, width=None, height=None, stride=1, name=None, stride_horizontal=None, stride_vertical=None, padding=None, padding_width=None, padding_height=None, act='relu', fcmp_act=None, init=None, std=None, mean=None, truncation_factor=None, init_bias=None, dropout=None, include_bias=True, src_layers=None, **kwargs)

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

Methods

__init__(n_filters[, n_groups, width, …])	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_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