Hardware Acceleration of Deep Convolutional Neural Networks on FPGA

Hardware Acceleration of Deep Convolutional Neural Networks on FPGA

abstract: The rapid improvement in computation capability has made deep convolutional neural networks (CNNs) a great success in recent years on many computer vision tasks with significantly improved accuracy. During the inference phase, many applications demand low latency processing of one image wi...

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Bibliographic Details
Other Authors: Ma, Yufei (Author)
Format: Doctoral Thesis
Language:English
Published: 2018
Subjects:
Electrical engineering
Computer engineering
Artificial intelligence
Computer Vision
Convolutional Neural Networks
FPGA
Hardware Accelerator
Online Access:http://hdl.handle.net/2286/R.I.51620

Internet

http://hdl.handle.net/2286/R.I.51620

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