torch: nnf_local_response_norm – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

nnf_local_response_norm

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

Tensors and Neural Networks with 'GPU' Acceleration

v0.3.0

MIT + file LICENSE

Authors

Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph]

Initial release

nnf_local_response_norm

Description

Usage

Arguments

torch

We don't support your browser anymore