Embedded Deep Learning - Moons, Bert
- Format: Relié Voir le descriptif
Vous en avez un à vendre ?
Vendez-le-vôtre164,19 €
Produit Neuf
Ou 41,05 € /mois
- Livraison à 0,01 €
- Livré entre le 11 et le 22 juin
Brand new, In English, Fast shipping from London, UK; Tout neuf, en anglais, expédition rapide depuis Londres, Royaume-Uni;ria9783319992228_dbm
- Payez directement sur Rakuten (CB, PayPal, 4xCB...)
- Récupérez le produit directement chez le vendeur
- Rakuten vous rembourse en cas de problème
Gratuit et sans engagement
Félicitations !
Nous sommes heureux de vous compter parmi nos membres du Club Rakuten !
TROUVER UN MAGASIN
Retour
Avis sur Embedded Deep Learning de Moons, Bert Format Relié - Livre Littérature Générale
0 avis sur Embedded Deep Learning de Moons, Bert Format Relié - Livre Littérature Générale
Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.
-
Configuring Sap S/4hana Finance
Neuf dès 111,72 €
-
Children Of Lucifer
Neuf dès 132,38 €
-
Genre In Archaic And Classical Greek Poetry: Theories And Models
Neuf dès 228,93 €
-
Supergirl: The New 52 Omnibus Vol. 1
Neuf dès 129,55 €
-
Instability, Skew-T & Hodograph Handbook
Neuf dès 87,77 €
-
The Emergence Of Modern Business Enterprise In France, 1800-1930 Harvard Studies In Business History
Neuf dès 109,66 €
-
The Oxford Handbook Of Latin American History
Neuf dès 82,23 €
-
Classical Form
Neuf dès 91,69 €
-
Orthodontic Treatment Of Impacted Teeth
Neuf dès 228,30 €
-
In The American West 40th Anniversary Edition
1 avis
Neuf dès 82,82 €
Occasion dès 192,09 €
-
Mosby's Orthodontic Review
Neuf dès 182,45 €
-
Machine Learning And Data Sciences For Financial Markets
Neuf dès 152,94 €
-
A First Course In The Finite Element Method, Enhanced Edition, Si Version
Neuf dès 132,67 €
-
A Practical Guide To Chemical Peels, Microdermabrasion & Topical Products
1 avis
Neuf dès 158,90 €
-
Bsava Manual Of Canine And Feline Abdominal Imaging
Neuf dès 125,37 €
-
The Maudsley Prescribing Guidelines In Psychiatry
Neuf dès 91,25 €
Occasion dès 144,72 €
-
Falkland Road
Neuf dès 82,54 €
-
Key Questions In Cardiac Surgery
Neuf dès 108,79 €
-
Athenaze, Book I
Neuf dès 117,62 €
-
Rccpf Norway
Neuf dès 85,37 €
Produits similaires
Présentation Embedded Deep Learning de Moons, Bert Format Relié
- Livre Littérature Générale
Biographie:
Dr. ir. Bert Moons received the B.S. and M.S. and PhD degree in Electrical Engineering from KU Leuven, Leuven, Belgium in 2011, 2013 and 2018. He performed his PhD research at ESAT-MICAS as an IWT-funded Research Assistant, focusing on energy-scalable and run-time adaptable digital circuits for embedded Deep Learning applications. Bert authored 15+ conference and journal publications, was a Visiting Research Student at Stanford University in the Murmann Mixed-Signal Group and received the SSCS predoctoral achievement award in 2018. Currently he is with Synopsys, as a hardware design architect for the DesignWare EV6x Embedded Vision and Deep Learning processors. Daniel Bankman received the S.B. degree in electrical engineering from the Massachusetts Institute of Technology, Cambridge, MA in 2012 and the M.S. degree from Stanford University, Stanford, CA in 2015. Since 2012, he has been working toward the Ph.D. degree at Stanford University, focusing on mixed-signal processing for machine learning. He has held internship positions with Analog Devices and Intel. His research interests include algorithms, architectures, and circuits for energy-efficient learning and inference in smart devices. He was a recipient of the Texas Instruments Stanford Graduate Fellowship in 2012, the Numerical Technologies Founders Prize in 2013, and the John von Neumann Student Research Award in 2015 and 2017. Prof. Dr. ir. Marian Verhelst is a professor at the MICAS laboratories (MICro-electronics And Sensors) of the Electrical Engineering Department of KU Leuven. Her research focuses on embedded machine learning, energy-efficient hardware accelerators, self-adaptive circuits and systems, and low-power sensing and processing. Before that, she received a PhD from KU Leuven cum ultima laude, she was a visiting scholar at the Berkeley Wireless Research Center (BWRC) of UC Berkeley, and she worked as a research scientist at Intel Labs, Hillsboro OR. Prof. Verhelst is a member of the DATE conference executive committee, and was a member of the ESSCIRC and ISSCC TPCs and of the ISSCC executive committee. Marian is an SSCS Distinguished Lecturer, was a member of the Young Academy of Belgium, an associate editor for TCAS-II and JSSC and a member of the STEM advisory commitee to the Flemish Government. Marian holds a prestigious ERC Grant from the European Union....
Détails de conformité du produit
Personne responsable dans l'UE