Implementing machine learning algorithms on FPGA for edge computing

Implementing machine learning algorithms on FPGA for edge computing

In recent years, with the development of high-performance computing devices, convolutional neural network (CNN) has become one of the most popular machine learning algorithms. It has achieved unprecedented success in various fields of application. However, despite its great performance, traditional...

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Bibliographic Details
Main Author: Chen, Zhuoran
Other Authors: Lam Siew Kei
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2021
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Computer science and engineering::Hardware::Register-transfer-level implementation
Online Access:https://hdl.handle.net/10356/148052

Internet

https://hdl.handle.net/10356/148052

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