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Natural learning of...
Natural learning of neural networks by reconfiguration
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- Spaanenburg, Lambert (författare)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
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Alberts, R (författare)
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Slump, C H (författare)
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vanderZwaag, B J (författare)
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(creator_code:org_t)
- SPIE, 2003
- 2003
- Engelska.
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Ingår i: SPIE Proceedings on Bioengineered and Bioinspired Systems. - : SPIE. - 1996-756X .- 0277-786X. ; 5119, s. 273-284
- Relaterad länk:
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http://dx.doi.org/10...
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https://ris.utwente....
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The communicational and computational demands of neural networks are hard to satisfy in a digital technology. Temporal computing solves this problem by iteration, but leaves a slow network. Spatial computing was no option until the coming of modern FPGA devices. The letter shows how a small feed-forward neural module can be configured on the limited logic blocks between RAM and multiplier macro’s. It is then described how by spatial unrolling or by reconfiguration a large modular ANN can be built from such modules.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- Spatial Computing
- ANN
- Modularity
- FPGA
- Reconfiguration
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
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