Today, our society is experiencing a new revolution that goes under the name of Artificial Intelligence (AI). In particular, the part of AI that is increasingly gaining more and more attention is Deep Learning (DL), whose main idea is to use a Deep Neural Network (DNN) in order to let a machine learn through training and perform, through inference, several tasks, as if these were performed by a human being. Among these tasks we find autonomous driving, speech recognition, computer vision and many others. The reason why DL is taking off compared to other well known and documented Machine Learning (ML) algorithms is due to its capability to take advantage of huge amount of data.