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

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

Files in this item

Files	Size	Format	View
There are no files associated with this item.