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Deep learning on low power embedded devices using RISC-V cores with an extended instruction set
Jure Vreča, Zmago Brezočnik, Farhad Merchant
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Oznake: deep learning;embedded system;instruction set;RISC-V;
This thesis explores the possibility of running neural networks on microcontrollers and how to optimize their performance using instruction set extensions. Microcontrollers are seen as too weak to run neural networks. We challenge this view and show that stripped-down neural networks can run and ...
Leto: 2020 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
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