|Sintesi||This is a laboratory module with some hints at theoretical basis.
First, an introduction to the development environment chosen, i.e. the Anaconda package. Second, some basic concepts about object-orientation.
Afterwards, some considerations about the design of a neural network as a class and the main blocks of the code.
A glance follows at the datasets and how they have been scaled in order to improve performance.
Then a hint about possible future developments of the code in sight of deep networks and, finally, some indications about running the sample code.|