sepconv_relu_sepconv: Hidden layer with RELU activation followed by linear...
In ifrit98/transformR: An R Implementation of Transformer Model with Self Attention
Description
Hidden layer with RELU activation followed by linear projection
Usage
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sepconv_relu_sepconv(
x,
filters,
output_depth,
first_kernel_size = list(1L, 1L),
second_kernel_size = list(1L, 1L),
padding = "LEFT",
dropout = 0
)
ifrit98/transformR documentation built on Nov. 26, 2019, 2:14 a.m.
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Description
Hidden layer with RELU activation followed by linear projection
Usage
1 2 3 4 5 6 7 8 9 | sepconv_relu_sepconv(
x,
filters,
output_depth,
first_kernel_size = list(1L, 1L),
second_kernel_size = list(1L, 1L),
padding = "LEFT",
dropout = 0
)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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