nnf_local_response_norm: Local_response_norm
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/nnf-normalization.R
nnf_local_response_norm R Documentation
Local_response_norm
Description
Applies local response normalization over an input signal composed of
several input planes, where channels occupy the second dimension.
Applies normalization across channels.
Usage
nnf_local_response_norm(input, size, alpha = 1e-04, beta = 0.75, k = 1)
Arguments
input
the input tensor
size
amount of neighbouring channels used for normalization
alpha
multiplicative factor. Default: 0.0001
beta
exponent. Default: 0.75
k
additive factor. Default: 1
torch documentation built on May 29, 2024, 9:54 a.m.
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View source: R/nnf-normalization.R
| nnf_local_response_norm | R Documentation |
Local_response_norm
Description
Applies local response normalization over an input signal composed of several input planes, where channels occupy the second dimension. Applies normalization across channels.
Usage
nnf_local_response_norm(input, size, alpha = 1e-04, beta = 0.75, k = 1)
Arguments
input |
the input tensor |
size |
amount of neighbouring channels used for normalization |
alpha |
multiplicative factor. Default: 0.0001 |
beta |
exponent. Default: 0.75 |
k |
additive factor. Default: 1 |
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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