CMOS integrated circuits

Learning in Memristive Neural Network Architectures Using Analog Backpropagation Circuits

1 min read · Tue, Jan 1 2019

analogue integrated circuits CMOS integrated circuits Circuits

Olga Krestinskaya, et al., "Learning in Memristive Neural Network Architectures Using Analog Backpropagation Circuits" IEEE Transactions on Circuits and Systems-I 66 (2), 2019, 719. The on-chip implementation of learning algorithms would speed up the training of neural networks in crossbar arrays. The circuit level design and implementation of a back-propagation algorithm using gradient descent operation for neural network architectures is an open problem. In this paper, we propose analog backpropagation learning circuits for various memristive learning architectures, such as deep neural

Mohammad F. Hashem

Senior Consultant, Oliver Wyman

Digital signal processing CMOS integrated circuits