FPGA Implementations of Feed Forward Neural Network by using Floating Point Hardware Accelerators

This paper documents the research towards the analysis of different solutions to implement a Neural Network architecture on a FPGA design by using floating point accelerators. In particular, two different implementations are investigated: a high level solution to create a neural network on a soft pr...

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Principais autores:	Gabriele-Maria Lozito, Antonino Laudani, Francesco Riganti Fulginei, Alessandro Salvini
Formato:	Artigo
Idioma:	Inglês
Publicado:	VSB-Technical University of Ostrava 2014-01-01
Series:	Advances in Electrical and Electronic Engineering
Assuntos:	embedded floating point fpga neural networks soft-core processor vhdl.
Acceso en liña:	http://advances.utc.sk/index.php/AEEE/article/view/831
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