dlpy.blocks.ResBlock¶

class dlpy.blocks.ResBlock(kernel_sizes=3, n_filters=16, 16, strides=None, batch_norm_first=False, conv_short_cut=False)¶

Base class for the residual blocks.

Parameters

kernel_sizeslist-of-ints, optional: Specifies the size of the kernels. This assumes the kernels are square. Default: 3
n_filterslist-of-ints, optional: Specifies the number of filters. Default: (16, 16)
strideslist-of-ints, optional: Specifies the stride values for the filters
batch_norm_firstbool, optional: Set to True, if the batch normalization comes first Default: False
conv_short_cutbool, optional: Set to True, if convolution layer has a short cut Default: False

Returns

__init__(kernel_sizes=3, n_filters=16, 16, strides=None, batch_norm_first=False, conv_short_cut=False)¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`([kernel_sizes, n_filters, strides, …])	Initialize self.
`add_layers`()	Add the layers for the block
`compile`(src_layer[, block_num])	Convert the block structure into DLPy layer definitions.
`count_instances`()
`get_number_of_instances`()

Attributes