MLtools aims at providing tools for solving the hand-written digits pattern recognition problem (MNIST). MLTools implement two celebrated Machine Learning techniques:

• A Multi-Layer Perceptron performing Stochastic Gradient descent optimization on a Logistic Error function.
• A Sequential minimal optimization Support Vector Machine algorithm.

We apply both solutions to the MNIST dataset and compare the results.