Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
that y_pred represents probabilities rather than logit values. Implementation in PyTorch import torch.nn.functional as F import torch def sparse_categorical_crossentropy(y_true, y_pred): loss = F.cross_entropy(y_pred, y_true) return loss # define true labels as integers and predicted logits as a