FPGA implementation of low-power real-time convolutional neural network inference

While artificial intelligence is applied in many areas of live, its computational intensity requires the presence of a large amount of computing resources. The data which are meant to be processed with those algorithms, however, are not generated in data centres or on desktop workstations. Instead,...

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Bibliographic Details
Main Author: Gerlinghoff, Daniel
Other Authors: Zheng Yuanjin
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/137750
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Institution: Nanyang Technological University
Language: English