Optimization, Pytorch, Machine Learning, Deep Learning, Tensorboard.
cross-entropy loss function. This loss function will be the main focus of our discussion. def log_softmax(x): return x - x.exp().sum(-1).log().unsqueeze(-1) def weighted_nll(pred, target, weight): assert target.max() < num_classes nll = -pred[range(target.shape[0]), target] nll = nll *