Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
sparse_categorical_crossentropy(y_true, y_pred): # convert true labels to one-hot encoding y_true_onehot = np.zeros_like(y_pred) y_true_onehot[np.arange(len(y_true)), y_true] = 1 # calculate loss loss = -np.mean(np.sum(y_true_onehot * np.log(y_pred), axis=-1)) return loss In this implementation,