Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
uses a one-hot encoding for the true labels, the sparse categorical cross-entropy loss uses integer labels directly. The true label for each sample is represented as a single integer value i between 0 and C-1, where C is the number of classes. Implementation in NumPy import numpy as np def