FPNA, FPNN: from programmable fields to topologically simplified neural networks
Résumé
This work aims at developping neural architectures that are easy to map onto FPGAs, thanks to a simplified topology and an original data exchange scheme, without having any loss of approximation capability. Thie report proposes a brief overview of FPNA and FPNN definitions, computations and implementations.