FPGA firmware helps unify the supervised and un-supervised deep learning for BDA

Abstract

Artificial general intelligence (AGI) has been advocated by both MIT Prof. Lex Friedman, and Stanford CS Prof. Andrew Ng. The deep learning is a recursive multi-layers learning emulating human visual system (V1-V4) which have been campaigned by Prof. Geoffrey Hinton (now at Google) and his protégée Prof. Yann Le Cun (no at NYU Facebook), Prof. Yoshua Bengio (remains at Univ. Toronto)).1 Together they have been demonstrated in recent Nature publication “(Supervised) Deep Learning” circa 2015.