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TConv2D
Yi Zhu edited this page Jun 2, 2021
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TConv2D
executes the transposed 2-dimensional covolution.
TConv2D(;input_shape::Tuple, filter::Int64, padding::Int64=0, kernel_size::Tuple{Int64, Int64}, strides::Tuple{Int64, Int64}=(1,1), activation_function::Module, randomization::Bool=true)
input_shape
: a tuple of input data shape, (s1, s2, channels)
, can be set automatically, unless it is the first layer in the network
filter
: the number of dimensions for output data
padding
: the number of outer rings for padding, default 0
kernel_size
: the shape of kernel, a tuple of two integers, default true
strides
: the moving step size in vertical and horizontal direction, default (1,1)
activation_function
: a chosen activation function
randomization
: generate the filters with Glorot Uniform or set as zeros
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