Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow

The intuitive and friendly interactive interface makes it easy to manipulate, visualize and analyze data. The software provides a lot of mathematical built-in functions for every kind of task and an extensive and easily accessible documentation. It is mainly designed to handle matrices and, hence, almost all the functions and operations are vectorized, i.e. they can manage scalars, as well as vectors, matrices and (often) tensors. For these reasons, it is more efficient to avoid loops cycles (when possible) and to set up operations exploiting matrices multiplication. In this document we just show some simple Machine Learning related instruments in order to start playing with ANNs. We assume a basic-level knowledge and address to official documentation for further informations.