Deep learning for edge devices

Abstract

Deep learning (DL) has revolutionized the field of artificial intelligence (AI). At its essence, DL consists of building, training, and deploying large, multilayered neural networks. DL techniques have been successfully used in computer vision (CV), natural language processing (NLP), network security, and several other fields. As DL applications become more ubiquitous, another trend is taking place: the growing use of edge devices. The combination of DL/AI solutions deployed on portable (edge) devices is known as edge AI.