Energy-Efficient One-Dimension Winograd’s Minimal Filter Algorithm for Deep Convolutional Neural Networks based on FPGA

Energy-Efficient One-Dimension Winograd’s Minimal Filter Algorithm for Deep Convolutional Neural Networks based on FPGA

碩士 === 國立臺灣科技大學 === 電子工程系 === 107 === The state-of-the-art convolutional neural networks (CNNs) have been widely applied to many deep neural networks (DNNs) models. As the model becomes more accurate, both the number of computation and the data bandwidth are significantly increased. This paper pres...

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Bibliographic Details
Main Authors:	WEN-JIE LI, 李文傑
Other Authors:	Shanq-Jang Ruan
Format:	Others
Language:	en_US
Published:	2019
Online Access:	http://ndltd.ncl.edu.tw/handle/ywnysv

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