Revisiting squared-error and cross-entropy functions for training neural network classifiers.

Douglas Kline Victor L. Berardi

Published in: Neural Comput. Appl. (2005)

Keyphrases

squared error
cross entropy
log likelihood
maximum likelihood
language modeling
error function
training set
loss function
evaluation metrics
training examples
supervised learning
relative error
probability distribution
training algorithm
feedforward neural networks