Artificial intelligence is currently one of the topics of most interest in computer science. In particular, neural networks have found applications in many disciplines, like autonomous driving systems, medical diagnosis and many others. Enabling technology for this IT revolution is the available computing capacity provided by the Cloud. In some scenarios, however, execution on external servers is not possible, as in the case of some space missions. The only solution is to run the algorithms directly on the device that generates data. It is, therefore, necessary to migrate system intelligence from the Cloud to "the Edge". To do so we must optimize the models to minimize the computation and memory required.