Greedy Edge-Wise Training of Resistive Switch Arrays

Pages: 177 - 190
Published: Jan 1, 2020
Abstract
A technical challenge of machine learning based on artificial neural network is large-scale multiply-accumulate (MAC) operation that is costly. The larger the network, the more MAC operations are required for inference as well as training. As an alternative to this conventional digital MAC operation, a resistive switching memory array realizes analog MAC operations in a fully parallel manner. Algorithms for training such an array are mainly...
Paper Details
Title
Greedy Edge-Wise Training of Resistive Switch Arrays
Published Date
Jan 1, 2020
Pages
177 - 190
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