DenseResBlock {fastai} | R Documentation |
Dense Res Block
Description
Resnet block of 'nf' features. 'conv_kwargs' are passed to 'conv_layer'.
Usage
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"
)
Arguments
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 |
Value
block
[Package fastai version 2.2.2 Index]