tigercontrol.models.optimizers.cross_entropy

tigercontrol.models.optimizers.cross_entropy(y_pred, y_true, eps=1e-09)

Description: cross entropy loss, y_pred is equivalent to logits and y_true to labels :param y_pred: value predicted by model :param y_true: ground truth value :param eps: some scalar