cross_entropy_sigmoid#
- class brainpy.losses.cross_entropy_sigmoid(predicts, targets)[source]#
Computes the sigmoid cross-entropy loss.
- Parameters:
predicts – (batch, …, #class) tensor of logits.
targets – (batch, …, #class) tensor of label probabilities (e.g. labels.sum(axis=-1) must be 1)
- Returns:
(batch, …) tensor of the cross-entropies for each entry.