Programmable Energy-Efficient Analog Multilayer Perceptron Architecture Suitable for Future Expansion to Hardware Accelerators
A programmable, energy-efficient analog hardware implementation of a multilayer perceptron (MLP) is presented featuring a highly programmable system that offers the user the capability to create an MLP neural network hardware design within the available framework. In addition to programmability, thi...
Main Authors: | Jeff Dix, Jeremy Holleman, Benjamin J. Blalock |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
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Series: | Journal of Low Power Electronics and Applications |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9268/13/3/47 |
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