Deep neural network (DNN) surrogate models for the accelerated design of optical devices and systems: moving beyond fully-connected feed forward architectures

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dc.contributor.author Hegde, Ravi
dc.contributor.other Novel Optical Systems, Methods, and Applications XXII (SPIE 2019)
dc.coverage.spatial San Diego, US
dc.date.accessioned 2019-09-18T10:12:54Z
dc.date.available 2019-09-18T10:12:54Z
dc.date.issued 2019-08-11
dc.identifier.citation Hegde, Ravi, “Deep neural network (DNN) surrogate models for the accelerated design of optical devices and systems: moving beyond fully-connected feed forward architectures”, in Novel Optical Systems, Methods, and Applications XXII,(SPIE 2019) San Diego, USA, Aug. 11-15, 2019. en_US
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/4837
dc.description.statementofresponsibility by Ravi Hegde
dc.language.iso en_US en_US
dc.title Deep neural network (DNN) surrogate models for the accelerated design of optical devices and systems: moving beyond fully-connected feed forward architectures en_US
dc.type Article en_US


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