An Approximate Backpropagation Learning Rule for Memristor Based Neural Networks Using Synaptic Plasticity

D. V. Negrov, I. M. Karandashev, V. V. Shakirov +3

We describe an approximation to backpropagation algorithm for training deep neural networks, which is designed to work with synapses implemented with memristors. The key idea is to…