Loss Functions

binary_cross_entropy(logits, targets[, ...])	Computes the binary cross entropy loss.
cross_entropy(logits, targets[, weights, ...])	Computes the cross entropy loss.
kl_div_loss(inputs, targets[, axis, reduction])	Computes the Kullback-Leibler divergence loss.
l1_loss(predictions, targets[, reduction])	Computes the L1 loss.
mse_loss(predictions, targets[, reduction])	Computes the mean squared error loss.
nll_loss(inputs, targets[, axis, reduction])	Computes the negative log likelihood loss.
smooth_l1_loss(predictions, targets[, beta, ...])	Computes the smooth L1 loss.
triplet_loss(anchors, positives, negatives)	Computes the triplet loss for a set of anchor, positive, and negative samples.
hinge_loss(inputs, targets[, reduction])	Computes the hinge loss between inputs and targets.
huber_loss(inputs, targets[, delta, reduction])	Computes the Huber loss between inputs and targets.
log_cosh_loss(inputs, targets[, reduction])	Computes the log cosh loss between inputs and targets.