commit | 9a23bc8adf6fd41b53759d564a153e0f0947cdc2 | [log] [tgz] |
---|---|---|
author | Daniel Steger <dstegs@gmail.com> | Fri Dec 04 07:23:33 2020 -0800 |
committer | GitHub <noreply@github.com> | Fri Dec 04 10:23:33 2020 -0500 |
tree | 953293fdb175b5362cb8d6e30879c51f35a8b6c7 | |
parent | 12fb486a491b75d70ec4c5e0a0cd112ab49a95bc [diff] |
config: small spelling fix (#19)
VTA (versatile tensor accelerator) is an open-source deep learning accelerator complemented with an end-to-end TVM-based compiler stack.
The key features of VTA include: