Optimization and compression methods for recurrent neural networks on-chip

Federico Pugliese

Optimization and compression methods for recurrent neural networks on-chip.

Rel. Andrea Calimera, Valerio Tenace. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2017

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Abstract:	Design and optimization of Recurrent-NNs on Chip
Relators:	Andrea Calimera, Valerio Tenace
Academic year:	2017/18
Publication type:	Electronic
Number of Pages:	97
Subjects:
Corso di laurea:	Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea:	New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Aziende collaboratrici:	UNSPECIFIED
URI:	http://webthesis.biblio.polito.it/id/eprint/6446

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