Vendeur : St Vincent de Paul of Lane County, Eugene, OR, Etats-Unis
EUR 34,29
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : Good. BOOK HAS A BIT OF WAVINESS BUT IS OTHERWISE A GOOD READING COPY. paperback 100% of proceeds go to charity! Good condition with all pages in tact. Item shows signs of use and may have cosmetic defects.
EUR 36,67
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : Good. Signs of wear and consistent use.
EUR 45,88
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
EUR 48,31
Autre deviseQuantité disponible : 6 disponible(s)
Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
EUR 52,55
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
EUR 54,98
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread copy in mint condition.
EUR 55,07
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. Brand New.
EUR 52,10
Autre deviseQuantité disponible : 6 disponible(s)
Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
EUR 57,12
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : New.
EUR 61,52
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : New.
EUR 49,38
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
EUR 49,34
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
EUR 69,72
Autre deviseQuantité disponible : 14 disponible(s)
Ajouter au panierEtat : New.
EUR 64,21
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierSoft cover. Etat : New.
EUR 49,37
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 1156.
EUR 60,10
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 450 pages. 9.25x7.37x1.12 inches. In Stock.
Vendeur : Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Allemagne
EUR 48
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Neuware -Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. YouGÇÖll peer inside the GÇ£black boxGÇ¥ to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. 552 pp. Englisch.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 48
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Neuware -Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. YouGÇÖll peer inside the GÇ£black boxGÇ¥ to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. 552 pp. Englisch.
Edité par Manning Publications, New York, 2024
ISBN 10 : 1617296481 ISBN 13 : 9781617296482
Langue: anglais
Vendeur : Grand Eagle Retail, Fairfield, OH, Etats-Unis
EUR 76,26
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. Written by deep learning expert Krishnendu Chaudhury, you'll peer inside the black box to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. about the technology It's important to understand how your deep learning models work, both so that you can maintain them efficiently and explain them to other stakeholders. Learning mathematical foundations and neural network architecture can be challenging, but the payoff is big. You'll be free from blind reliance on pre-packaged DL models and able to build, customize, and re-architect for your specific needs. And when things go wrong, you'll be glad you can quickly identify and fix problems. about the book Math and Architectures of Deep Learning sets out the foundations of DL in a way that's both useful and accessible to working practitioners. Each chapter explores a new fundamental DL concept or architectural pattern, explaining the underpinning mathematics and demonstrating how they work in practice with well-annotated Python code. You'll start with a primer of basic algebra, calculus, and statistics, working your way up to state-of-the-art DL paradigms taken from the latest research. By the time you're done, you'll have a combined theoretical insight and practical skills to identify and implement DL architecture for almost any real-world challenge. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 48
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Neuware -Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. YouGÇÖll peer inside the GÇ£black boxGÇ¥ to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications.
EUR 67,89
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierEtat : New. In.
EUR 77,05
Autre deviseQuantité disponible : 14 disponible(s)
Ajouter au panierpaperback. Etat : New. Special order direct from the distributor.
EUR 50,83
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Neuware - Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. YouGÇÖll peer inside the GÇ£black boxGÇ¥ to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications.
EUR 78,46
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 450 pages. 9.25x7.37x1.12 inches. In Stock.
EUR 40,49
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierEtat : New. Über den AutorKrishnendu Chaudhury is a deep learning and computer vision expert with decade-long stints at both Google and Adobe Systems. He is presently CTO and co-founder of Drishti Technologies. He has a PhD in computer s.
EUR 83,26
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : New.
EUR 97,26
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 450 pages. 9.25x7.37x1.12 inches. In Stock.
Edité par Manning Publications, New York, 2024
ISBN 10 : 1617296481 ISBN 13 : 9781617296482
Langue: anglais
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 88,96
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. Written by deep learning expert Krishnendu Chaudhury, you'll peer inside the black box to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. about the technology It's important to understand how your deep learning models work, both so that you can maintain them efficiently and explain them to other stakeholders. Learning mathematical foundations and neural network architecture can be challenging, but the payoff is big. You'll be free from blind reliance on pre-packaged DL models and able to build, customize, and re-architect for your specific needs. And when things go wrong, you'll be glad you can quickly identify and fix problems. about the book Math and Architectures of Deep Learning sets out the foundations of DL in a way that's both useful and accessible to working practitioners. Each chapter explores a new fundamental DL concept or architectural pattern, explaining the underpinning mathematics and demonstrating how they work in practice with well-annotated Python code. You'll start with a primer of basic algebra, calculus, and statistics, working your way up to state-of-the-art DL paradigms taken from the latest research. By the time you're done, you'll have a combined theoretical insight and practical skills to identify and implement DL architecture for almost any real-world challenge. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par Manning Publications, New York, 2024
ISBN 10 : 1617296481 ISBN 13 : 9781617296482
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 129,69
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. Written by deep learning expert Krishnendu Chaudhury, you'll peer inside the black box to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. about the technology It's important to understand how your deep learning models work, both so that you can maintain them efficiently and explain them to other stakeholders. Learning mathematical foundations and neural network architecture can be challenging, but the payoff is big. You'll be free from blind reliance on pre-packaged DL models and able to build, customize, and re-architect for your specific needs. And when things go wrong, you'll be glad you can quickly identify and fix problems. about the book Math and Architectures of Deep Learning sets out the foundations of DL in a way that's both useful and accessible to working practitioners. Each chapter explores a new fundamental DL concept or architectural pattern, explaining the underpinning mathematics and demonstrating how they work in practice with well-annotated Python code. You'll start with a primer of basic algebra, calculus, and statistics, working your way up to state-of-the-art DL paradigms taken from the latest research. By the time you're done, you'll have a combined theoretical insight and practical skills to identify and implement DL architecture for almost any real-world challenge. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.