One-hot Encoding
Index of classes, starting from 1 to m
One-hot encoding output for Tin, in m x p, where m is the number of classes, and p is the number of datasets
One-hot Encoding for target data in Feed-forward Back-Propagation Network Base on Andrew Ng's Coursera Deep-Learning Specialization Course.