Long short-term memory networks in memristor crossbars
Abstract
Recent breakthroughs in recurrent deep neural networks with long short-term memory (LSTM) units has led to major advances in artificial intelligence. State-of-the-art LSTM models with significantly increased complexity and a large number of parameters, however, have a bottleneck in computing power resulting from limited memory capacity and data communication bandwidth. Here we demonstrate experimentally that LSTM can be implemented with a...
Paper Details
Title
Long short-term memory networks in memristor crossbars
Published Date
May 30, 2018
Journal
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