Cross Entropy Loss
Defined in 2 lectures. Each definition is in that lecture's terms.
Definitions are written by AI from each lecture’s transcript. The time opens the lecture where the lecturer explains it.
- A loss function that indicates the distance between the model's output probability distribution and the true input distribution.
- A loss function implemented in PyTorch as negative log likelihood loss that measures the quality of logits with respect to target character identities.