Classification Functions for Handwritten Digit Recognition

A classification function maps a set of vectors into several classes. machine learning problem is treated as design for partially defined functions. To realize functions MNIST hand written digits, three different architectures are considered: Single-unit realization, 45-unit and ×r realization. The realization consists 45 ternary classifiers, 10 counters, max selector. Test accuracy these compared using data set.