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OverviewFor 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. Full Product DetailsAuthor: Nico PiatkowskiPublisher: De Gruyter Imprint: De Gruyter ISBN: 9783110721058ISBN 10: 3110721058 Pages: 360 Publication Date: 03 February 2024 Audience: College/higher education , Tertiary & Higher Education , Tertiary & Higher Education Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationDr. Nico Piatkowski, Fraunhofer Institute IAIS, Sankt Augustin, Germany. Tab Content 6Author Website:Countries AvailableAll regions |
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