Are you ready to move beyond learning the basics and start building real-world deep learning applications with confidence? This book is designed to help you develop practical, job-ready skills using one of the world's most widely adopted deep learning frameworks.
Whether you're a student, software developer, data scientist, or machine learning engineer, you'll be guided through a structured learning journey that starts with PyTorch fundamentals and progresses to neural networks, automatic differentiation, model training, optimization, computer vision, natural language processing, reinforcement learning, distributed training, mixed precision, and production deployment. Every concept is explained clearly and reinforced with practical examples that you can apply to your own projects.
You'll also explore modern topics such as foundation models, edge AI, model serving, responsible AI, performance tuning, and professional development workflows, giving you a well-rounded understanding of how deep learning systems are designed, built, optimized, and maintained in real-world environments.
If you're looking for a practical resource that combines strong fundamentals with advanced techniques and production-focused best practices, this handbook is an excellent companion for your learning journey.
Start building smarter AI solutions today and take the next step toward mastering modern deep learning with confidence.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. Print on Demand. N° de réf. du vendeur I-9798190005073
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. Are you ready to move beyond learning the basics and start building real-world deep learning applications with confidence? This book is designed to help you develop practical, job-ready skills using one of the world's most widely adopted deep learning frameworks.Whether you're a student, software developer, data scientist, or machine learning engineer, you'll be guided through a structured learning journey that starts with PyTorch fundamentals and progresses to neural networks, automatic differentiation, model training, optimization, computer vision, natural language processing, reinforcement learning, distributed training, mixed precision, and production deployment. Every concept is explained clearly and reinforced with practical examples that you can apply to your own projects.You'll also explore modern topics such as foundation models, edge AI, model serving, responsible AI, performance tuning, and professional development workflows, giving you a well-rounded understanding of how deep learning systems are designed, built, optimized, and maintained in real-world environments.If you're looking for a practical resource that combines strong fundamentals with advanced techniques and production-focused best practices, this handbook is an excellent companion for your learning journey.Start building smarter AI solutions today and take the next step toward mastering modern deep learning with confidence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798190005073
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Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798190005073
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798190005073
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Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. Are you ready to move beyond learning the basics and start building real-world deep learning applications with confidence? This book is designed to help you develop practical, job-ready skills using one of the world's most widely adopted deep learning frameworks.Whether you're a student, software developer, data scientist, or machine learning engineer, you'll be guided through a structured learning journey that starts with PyTorch fundamentals and progresses to neural networks, automatic differentiation, model training, optimization, computer vision, natural language processing, reinforcement learning, distributed training, mixed precision, and production deployment. Every concept is explained clearly and reinforced with practical examples that you can apply to your own projects.You'll also explore modern topics such as foundation models, edge AI, model serving, responsible AI, performance tuning, and professional development workflows, giving you a well-rounded understanding of how deep learning systems are designed, built, optimized, and maintained in real-world environments.If you're looking for a practical resource that combines strong fundamentals with advanced techniques and production-focused best practices, this handbook is an excellent companion for your learning journey.Start building smarter AI solutions today and take the next step toward mastering modern deep learning with confidence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798190005073
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Neuware. N° de réf. du vendeur 9798190005073
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