Neural-Networks-on-Silicon
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
Explore a collection of research papers on neural network technology and computer hardware.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeThis is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
Neural-Networks-on-Silicon has 2.1k stars on GitHub. It has been forked 394 times. It has been in active development since 2016. Its main topics are deep-learning, hardware.
What is Neural-Networks-on-Silicon?
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
Is Neural-Networks-on-Silicon open source?
Neural-Networks-on-Silicon is an open-source project.
Is Neural-Networks-on-Silicon free?
Yes. Neural-Networks-on-Silicon is free and open source — you can use, modify and self-host it.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/fengbintu-neural-networks-on-silicon.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.