Memristor Binarized Neural Networks

• Published in: Journal of semiconductor technology and science Vol. 18; no. 5; pp. 568 - 577
• Main Authors: Pham, Khoa Van, Nguyen, Tien Van, Tran, Son Bao, Nam, HyunKyung, Lee, Mi Jung, Choi, Byung Joon, Truong, Son Ngoc, Min, Kyeong-Sik
• Format: Journal Article
• Language: English
• Published: 대한전자공학회 01.10.2018
• Subjects: 전기공학; Memristor-CMOS hybrid circuits; memristor crossbars; Memristor binarized neural networks

Binarized Neural Networks (BNNs) use only binary synapses of +1 and -1, not allowing any intermediate weights between -1 and +1. Though the recognition rate of BNNs is lower than the conventional Deep Neural Networks (DNNs), BNNs have attracted many interests nowadays, because BNNs do not need the c...