Fast Convolutional Neural Networks in Low Density FPGAs Using Zero-Skipping and Weight Pruning

Fast Convolutional Neural Networks in Low Density FPGAs Using Zero-Skipping and Weight Pruning

Edge devices are becoming smarter with the integration of machine learning methods, such as deep learning, and are therefore used in many application domains where decisions have to be made without human intervention. Deep learning and, in particular, convolutional neural networks (CNN) are more eff...

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Bibliographic Details
Main Authors: Mário P. Véstias, Rui Policarpo Duarte, José T. de Sousa, Horácio C. Neto
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Electronics
Subjects:
deep learning
convolutional neural network
smart edge devices
zero-skipping
pruning
fpga
Online Access:https://www.mdpi.com/2079-9292/8/11/1321

Internet

https://www.mdpi.com/2079-9292/8/11/1321

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