nnf_group_norm

input

number of groups to separate the channels into

num_groups

weight

bias

a value added to the denominator for numerical stability. Default: 1e-5

Applies Group Normalization for last certain number of dimensions.

Provides functionality to define and train neural networks similar to
'PyTorch' by Paszke et al (2019) <arXiv:1912.01703> but written entirely in R
using the 'libtorch' library. Also supports low-level tensor operations and
'GPU' acceleration.

Daniel Falbel

nnf_group_norm: Group_norm

Description

Usage

Arguments