Beschreibung
For all autonomous devices the development of resource-aware machine learning techniques is required to reduce the tremendous resource consumption. This work provides theoretical and practical building blocks to bring full-fledged machine learning pipelines to systems with very low computational power or highly restricted energy supply. The presentation of theoretical methods is accompanied by actual learning results on ultra-low-power hardware.
Autorenporträt
Dr. Nico Piatkowski, Fraunhofer Institute IAIS, Sankt Augustin, Germany.
Herstellerkennzeichnung:
Walter de Gruyter GmbH
De Gruyter GmbH
Genthiner Strasse 13
10785 Berlin
DE
E-Mail: productsafety@degruyterbrill.com
