Dense Res Block
Resnet block of 'nf' features. 'conv_kwargs' are passed to 'conv_layer'.
DenseResBlock( nf, norm_type = 1, ks = 3, stride = 1, padding = NULL, bias = NULL, ndim = 2, bn_1st = TRUE, act_cls = nn()$ReLU, transpose = FALSE, init = "auto", xtra = NULL, bias_std = 0.01, dilation = 1, groups = 1, padding_mode = "zeros" )
nf |
number of features |
norm_type |
normalization type |
ks |
kernel size |
stride |
stride |
padding |
padding |
bias |
bias |
ndim |
number of dimensions |
bn_1st |
batch normalization 1st |
act_cls |
activation |
transpose |
transpose |
init |
initizalier |
xtra |
xtra |
bias_std |
bias standard deviation |
dilation |
dilation number |
groups |
groups number |
padding_mode |
padding mode |
block
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