Implementation Of MNIST Dataset Learning Using Analog Circuit

2023/08/08 by Kim, Minjae
#Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Neural and Evolutionary Computing (cs.NE)

paper · doi:10.48550/arxiv.2308.16307

Abstract

There have been many attempts to implement neural networks in the analog circuit. Most of them had a lot of input terms, and most studies implemented neural networks in the analog circuit through a circuit simulation program called Spice to avoid the need to design chips at a high cost and implement circuits directly to input them. In this study, we will implement neural networks using a capacitor and diode and use microcontrollers (Arduino Mega 2560 R3 boards) to drive real-world models and analyze the results.

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