Noise tolerant ternary weight deep neural networks for analog in-memory inference - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Jonas Doevenspeck, Peter Vrancx, Nathan Laubeuf, Arindam Mallik, Peter Debacker, Diederik Verkest, Rudy Lauwereins, Wim Dehaene. Noise tolerant ternary weight deep neural networks for analog in-memory inference. In International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021. pages 1-8, IEEE, 2021. [doi]

This author has not been identified. Look up 'Jonas Doevenspeck' in GoogleThis author has not been identified. Look up 'Peter Vrancx' in GoogleThis author has not been identified. Look up 'Nathan Laubeuf' in GoogleThis author has not been identified. Look up 'Arindam Mallik' in GoogleThis author has not been identified. Look up 'Peter Debacker' in GoogleThis author has not been identified. Look up 'Diederik Verkest' in GoogleThis author has not been identified. Look up 'Rudy Lauwereins' in GoogleThis author has not been identified. Look up 'Wim Dehaene' in Google

runs on WebDSL