134,21 €
Produit Neuf
Ou 33,55 € /mois
- Livraison : 3,99 €
- Livré entre le 21 et le 28 septembre
Nos autres offres
-
151,99 €
Produit Neuf
Ou 38,00 € /mois
- Livraison : 25,00 €
- Livré entre le 5 et le 10 octobre
Apres acceptation de la commande, le delai moyen d'expedition depuis le Japon est de 48 heures. Le delai moyen de livraison est de 3 a 4 semaines. En cas de circonstances exceptionnelles, les delais peuvent s'etendre jusqu'à 2 mois.
Voir le détail de l'annonce
- 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 Computational Methods For Deep Learning de Yan, Wei Qi Format Relié - Livre Loisirs
0 avis sur Computational Methods For Deep Learning de Yan, Wei Qi Format Relié - Livre Loisirs
Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.
-
Behind Bars: The Definitive Guide To Music Notation
Neuf dès 101,68 €
-
Collection Entremets & Petits Gâteaux
1 avis
Occasion dès 129,00 €
-
Catafalque
Neuf dès 86,94 €
-
By Marc Pairon Art Deco Ceramics Made In Belgium: Charles Catteau
6 avis
Occasion dès 110,00 €
-
Song Book - Intégrale --- Chant, Guitare Ou Piano
Occasion dès 100,00 €
-
Harald Szeemann
Neuf dès 87,99 €
-
The Fourth World Omnibus Vol. 2
Neuf dès 134,88 €
-
Sf2a : Scientific Highlights 2004
Occasion dès 69,00 €
-
The Globalization Of World Politics
Neuf dès 87,03 €
-
Didactique De L'anglais - Tome 2, La Mise En Oeuvre Pédagogique
Occasion dès 82,63 €
-
Angry Women (Re/Search ; 13)
Occasion dès 113,99 €
-
Geometric Quantization And Quantum Mechanics
Neuf dès 123,61 €
-
The Rainbow
Neuf dès 105,43 €
-
Microeconomic Theory
Occasion dès 69,77 €
-
Advanced Quantum Mechanics
Neuf dès 145,54 €
-
Women In The Earliest Churches
Neuf dès 71,05 €
-
Te Linde's Operative Gynecology
Neuf dès 103,99 €
-
Rules, Patterns And Words
Neuf dès 80,00 €
-
Common Sense
Occasion dès 115,00 €
-
Writing Compilers & Inter
Occasion dès 77,18 €
Produits similaires
Présentation Computational Methods For Deep Learning de Yan, Wei Qi Format Relié
- Livre Loisirs
Résumé :
The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this book. The second edition of this textbook presents control theory, transformer models, and graph neural networks (GNN) in deep learning. We have incorporated the latest algorithmic advances and large-scale deep learning models, such as GPTs, to align with the current research trends. Through the second edition, this book showcases how computational methods in deep learning serve as a dynamic driving force in this era of artificial intelligence (AI). This book is intended for research students, engineers, as well as computer scientists with interest in computational methods in deep learning. Furthermore, it is also well-suited for researchers exploring topics such as machine intelligence, robotic control, and related areas.
Biographie:
Wei Qi Yan is Director of Institute of Robotics & Vision (IoRV) at Auckland University of Technology (AUT) in New Zealand (NZ). Dr. Yan's research interests encompass deep learning, intelligent surveillance, computer vision, and multimedia computing. His expertise lies in computational mathematics, applied mathematics, computer science, and computer engineering. He holds the positions of Chief Technology Officer (CTO) of Screen 2 Script Limited (NZ) and Director and Chief Scientist of the Joint Laboratory between AUT and Shandong Academy of Sciences China (NZ). Dr. Yan also serves as Chair of ACM Multimedia Chapter of New Zealand and is Member of the ACM. Additionally, he is Senior Member of the IEEE and TC Member of the IEEE. In 2022, Dr. Yan was recognized as one of the world's top 2% cited scientists by Stanford University....
Sommaire:
The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this book. The second edition of this textbook presents control theory, transformer models, and graph neural networks (GNN) in deep learning. We have incorporated the latest algorithmic advances and large-scale deep learning models, such as GPTs, to align with the current research trends. Through the second edition, this book showcases how computational methods in deep learning serve as a dynamic driving force in this era of artificial intelligence (AI). This book is intended for research students, engineers, as well as computer scientists with interest in computational methods in deep learning. Furthermore, it is also well-suited for researchers exploring topics such as machine intelligence, robotic control, and related areas.
Détails de conformité du produit
Personne responsable dans l'UE