Loss Function
A mathematical function that measures how wrong the network's prediction is.
A mathematical function that measures how wrong the network's prediction is. Common choices: squared error L=(y-ŷ)², cross-entropy loss. The goal of training is to minimise the loss function. Also called cost function or objective function.