| commit | 0414272e301a41a9996988e1f6e748dfdd7891a2 | [log] [tgz] |
|---|---|---|
| author | mxiangyue <mxiangyue@gmail.com> | Fri Nov 12 09:59:08 2021 +1100 |
| committer | mxiangyue <mxiangyue@gmail.com> | Fri Nov 12 09:59:08 2021 +1100 |
| tree | 26eb4bf90a76899892c9abfb41c7cf48752b6774 | |
| parent | b1511c5f740776459f1f74c0528a16ea9d2b1c01 [diff] |
add README
This project implements a pre-trained fully connected neural network (FCNN) for hand-written digits from MNIST dataset. It takes images from MNIST dataset (28x28) and output single digit prediction. All parameters (weights and bias) are pre-trained and hard-coded.
This repository contains a Verilog implementation of the FCNN, targeting the OpenLane flow for the Skywater 130nm process and is an entry for the Google/Efabless MPW-3 shuttle.