| commit | ef63286b6f6e8e38cd6cb36ef47c88f473346a69 | [log] [tgz] |
|---|---|---|
| author | Jeff DiCorpo <jeffdi@efabless.com> | Wed Dec 29 05:56:52 2021 -0800 |
| committer | Jeff DiCorpo <jeffdi@efabless.com> | Wed Dec 29 05:56:52 2021 -0800 |
| tree | 0850294fff46c0646c07d94281c3d3a05256d781 | |
| parent | 3aa5f7407fe11bc366a02945153865559c2f1a4d [diff] |
final gds oasis
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. User can use wishbone bus to pass in inputs and obtain outputs.
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.
