tf.contrib.losses.sigmoid_cross_entropy(logits, multi_class_labels, weight=1.0, label_smoothing=0, scope=None) Creates a cross-entropy

tf.contrib.losses.compute_weighted_loss(losses, weight=1.0) Computes the weighted loss. Args:

tf.contrib.losses.absolute_difference(predictions, targets, weight=1.0, scope=None) Adds an Absolute Difference loss to the training

tf.contrib.losses.sum_of_pairwise_squares(*args, **kwargs) Adds a pairwise-errors-squared loss to the training procedure. (deprecated)

tf.contrib.losses.mean_pairwise_squared_error(*args, **kwargs) Adds a pairwise-errors-squared loss to the training procedure.

tf.contrib.losses.log_loss(predictions, targets, weight=1.0, epsilon=1e-07, scope=None) Adds a Log Loss term to the training procedure