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Implementing Neural Networks on a "10-cent" RISC-V MCU
I have been meaning for a while to establish a setup to implement neural network based algorithms on smaller microcontrollers. After reviewing existing solutions, I felt there is no solution that I…
As a test subject I chose the well-known MNIST dataset, which consists of images of hand written numbers which need to be classified from 0 to 9. The benefit of only using a few bits to represent each weight is that the memory footprint is low and we do not need a real multiplication instruction – inference can be reduced to additions only. Author cpldcpu Posted on April 24, 2024April 27, 2024 Categories Uncategorized Tags CH32V003, data-science, deep-learning, Inference, machine learning, ML, MNIST, Optimization
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