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9781617296482 - Math and Architectures of Deep Learning di Chaudhury, Krishnendu (40 risultati)
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Math and Architectures of Deep Learning
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Paperback. Condizione: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Math and Architectures of Deep Learning
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Math and Architectures of Deep Learning
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Math and Architectures of Deep Learning
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Math and Architectures of Deep Learning
Da: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 65,53
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Math and Architectures of Deep Learning
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Math and Architectures of Deep Learning
Da: Chiron Media, Wallingford, Regno Unito
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Math and Architectures of Deep Learning (Paperback)
Lingua: Inglese
Editore: Manning Publications, New York, 2024
ISBN 10: 1617296481 ISBN 13: 9781617296482
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: 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.
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Math and Architectures of Deep Learning
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 56,63
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Math and Architectures of Deep Learning
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Aggiungi al carrelloPaperback. Condizione: New. 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.
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Paperback. Condizione: New. 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.
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Math and Architectures of Deep Learning
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Math and Architectures of Deep Learning
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Math and Architectures of Deep Learning
Da: Basi6 International, Irving, TX, U.S.A.
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Math and Architectures of Deep Learning
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Math and Architectures of Deep Learning
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Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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MATH & ARCHITECTURES OF DEEP LEARNING
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MATH & ARCHITECTURES OF DEEP LEARNING
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Math and Architectures of Deep Learning
Lingua: Inglese
Editore: Manning Publications Company, 2024
ISBN 10: 1617296481 ISBN 13: 9781617296482
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
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Math and Architectures of Deep Learning
Lingua: Inglese
Editore: Manning Publications 2023-10-07, 2023
ISBN 10: 1617296481 ISBN 13: 9781617296482
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Math and Architectures of Deep Learning
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Math and Architectures of Deep Learning
Lingua: Inglese
Editore: Manning Publications Company, 2024
ISBN 10: 1617296481 ISBN 13: 9781617296482
Da: Majestic Books, Hounslow, Regno Unito
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Math and Architectures of Deep Learning
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Math and Architectures of Deep Learning
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Math and Architectures of Deep Learning
Lingua: Inglese
Editore: Manning Publications Company, 2024
ISBN 10: 1617296481 ISBN 13: 9781617296482
Da: Biblios, Frankfurt am main, HESSE, Germania
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