Layer multiplexing FPGA implementation for deep back-propagation learning

Article

Abstract: Training of large scale neural networks, like those used nowadays in Deep Learning schemes, requires

Palabras claves:

Deep Neural Networks, Fpga, Hardware implementation, Layer multiplexing, Supervised learning

Autores:

Francisco Ortega-Zamorano, Franco L., Gómez I., Jerez-Aragonés J.M.

Fuentes:

scopus