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.
@article{arxiv.2308.16307,
title = {Implementation Of MNIST Dataset Learning Using Analog Circuit},
author = {Minjae Kim},
journal= {arXiv preprint arXiv:2308.16307},
year = {2023}
}