Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review
Sign Up to like & getrecommendations! Published in 2023 at "Proceedings of the IEEE"
DOI: 10.1109/jproc.2022.3226481
Abstract: Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted in breakthroughs in many areas. However, deploying these highly accurate models for data-driven, learned, automatic, and practical machine learning (ML) solutions to… read more here.
Keywords: acceleration deep; edge devices; efficient acceleration; deep learning ... See more keywords
Acceleration of Deep Neural Network Training Using Field Programmable Gate Arrays
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/8387364
Abstract: Convolutional neural network (CNN) training often necessitates a considerable amount of computational resources. In recent years, several studies have proposed for CNN inference and training accelerators in which the FPGAs have previously demonstrated good performance… read more here.
Keywords: neural network; network; acceleration deep; deep neural ... See more keywords