nnf_binary_cross_entropy: Binary_cross_entropy

In torch: Tensors and Neural Networks with 'GPU' Acceleration

Binary_cross_entropy

Description

Function that measures the Binary Cross Entropy between the target and the output.

Usage

nnf_binary_cross_entropy(
  input,
  target,
  weight = NULL,
  reduction = c("mean", "sum", "none")
)

Arguments

input	tensor (N,*) where ** means, any number of additional dimensions
target	tensor (N,*) , same shape as the input
weight	(tensor) weight for each value.
reduction	(string, optional) – Specifies the reduction to apply to the output: 'none' | 'mean' | 'sum'. 'none': no reduction will be applied, 'mean': the sum of the output will be divided by the number of elements in the output, 'sum': the output will be summed. Default: 'mean'

torch documentation built on May 29, 2024, 9:54 a.m.