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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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