Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low power microcontrollers. At the same time, also on the field of hardware design the industry is moving towards the RISC-V micro-architecture, which is open-source and is developing at such a fast rate that it will become soon the standard.