FINN is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs. It specifically targets quantized neural networks, with emphasis on generating dataflow-style architectures customized for each network.
For more information, please visit the [project page](https://xilinx.github.io/finn/).
For more general information about FINN, please visit the [project page](https://xilinx.github.io/finn/).
## Getting Started
A new, more modular version of FINN is currently under development on GitHub, and we welcome contributions from the community!
Stay tuned for more updates.
Please see the [Getting Started](https://finn.readthedocs.io/en/latest/getting_started.html) page for more information on installation, requirements and how to run FINN in different modes.