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UM E-Theses Collection (澳門大學電子學位論文庫)

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Title

Study and design of the FPGA-based neural network acceleration module with depthwise separable convolution

Issue date

2022.

Author

Xuan, Lei

Faculty
Faculty of Science and Technology
Department
Department of Electrical and Computer Engineering (former name: Department of Electrical and Electronics Engineering)
Degree

M.Sc.

Subject

Neural networks (Computer science)

Field programmable gate arrays

Supervisor

Lam, Chi Seng

Files In This Item

Full-text (Intranet only)

Location
1/F Zone C
Library URL
991010196479006306