polito.it
Politecnico di Torino (logo)
Webthesis
Libraries

Extreme Learning and Data Parallelization for Single Incremental Task scenario

Davide Di Febbo

Extreme Learning and Data Parallelization for Single Incremental Task scenario.

Rel. Maurizio Martina, Guido Masera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2019

[img]
Preview
 PDF (Tesi_di_laurea) - Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives.
Download (8MB) | Preview
Abstract:
Relators: Maurizio Martina, Guido Masera
Academic year: 2018/19
Publication type: Electronic
Number of Pages: 81
Subjects:
Corso di laurea: Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering)
Classe di laurea: New organization > Master science > LM-29 - ELECTRONIC ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/11685
Modify record (reserved for operators) Modify record (reserved for operators)