Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
number of classes, and each row corresponds to the true label distribution for a single sample. The function then calculates the loss using the formula described in the previous answer: -1/N * sum(log(Y_hat_i)). This is implemented using NumPy's broadcasting, where y_true_onehot * np.log(y_pred)