Stochastic learning with back propagation
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, G. | - |
dc.contributor.author | Hwang, C.S. | - |
dc.contributor.author | Jeong, D.S. | - |
dc.date.accessioned | 2021-08-02T13:57:55Z | - |
dc.date.available | 2021-08-02T13:57:55Z | - |
dc.date.created | 2021-06-22 | - |
dc.date.issued | 2019-05-26 | - |
dc.identifier.issn | 0271-4310 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/18283 | - |
dc.description.abstract | Despite of remarkable progress on deep learning, its hardware implementation beyond deep learning acceleration is still behind the software deep learning due in part to lack of hardware-compatible learning algorithm. In this paper, a learning method called the stochastic learning with backpropagation (SLBP) algorithm was proposed. The network of concern consists of ternary synaptic weight, favorable to be implemented in a resistance-based crossbar array. Every training epoch, the SLBP algorithm evaluates weight update probability at which the corresponding weight is updated in a stochastic manner. The algorithm was used to train a denoising autoencoder, which identified the successful reduction in noise (increase in peak signal-to-noise ratio by approximately 68%). Notably, the SLBP algorithm achieves an 86% reduction in memory usage compared with a real-valued autoencoder trained using a backpropagation algorithm. ? 2019 IEEE | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Stochastic learning with back propagation | - |
dc.type | Conference | - |
dc.contributor.affiliatedAuthor | Jeong, D.S. | - |
dc.identifier.scopusid | 2-s2.0-85066803913 | - |
dc.identifier.bibliographicCitation | 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 | - |
dc.relation.isPartOf | 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 | - |
dc.relation.isPartOf | Proceedings - IEEE International Symposium on Circuits and Systems | - |
dc.citation.title | 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 | - |
dc.citation.conferencePlace | JA | - |
dc.citation.conferenceDate | 2019-05-26 | - |
dc.type.rims | CONF | - |
dc.description.journalClass | 1 | - |
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