ISBN: 9798194636228 - pytorch 2.13 complete handbook: a practical guide to deep learning, neural networks, computer vision, nlp, model training, and production deployment (6 risultati)

Taschenbuch. Condizione: Neu. Neuware - Ready to master modern deep learning with confidence Whether you're just beginning your artificial intelligence journey or looking to strengthen your professional machine learning skills, this handbook provides a practical, structured path from the fundamentals to advanced real-world applications.You'll learn how to build, train, optimize, and deploy powerful neural networks using PyTorch 2.13 through clear explanations, professional examples, and hands-on code. The content progresses naturally from tensor operations and automatic differentiation to neural network architecture, data preparation, model training, validation, optimization, GPU acceleration, distributed computing, and production deployment.You'll also explore essential topics such as computer vision, natural language processing, transformer architectures, generative models, graph neural networks, reinforcement learning, scientific computing, mixed-precision training, model serving, performance optimization, responsible AI practices, and scalable production workflows. Every chapter is designed to help you develop practical skills that can be applied to research projects, academic work, and real-world AI applications.Instead of simply explaining concepts, this handbook focuses on helping you understand how the entire deep learning workflow fits together-from writing your first model to deploying intelligent systems with confidence. Whether your goal is to build smarter applications, improve your technical expertise, or advance your career in artificial intelligence, you'll gain a solid foundation and a valuable reference you can return to whenever you need it.Take the next step in your deep learning journey-add this handbook to your library today and start building powerful AI solutions with PyTorch 2.13.…

Paperback. Condizione: new. Paperback. Ready to master modern deep learning with confidence? Whether you're just beginning your artificial intelligence journey or looking to strengthen your professional machine learning skills, this handbook provides a practical, structured path from the fundamentals to advanced real-world applications.You'll learn how to build, train, optimize, and deploy powerful neural networks using PyTorch 2.13 through clear explanations, professional examples, and hands-on code. The content progresses naturally from tensor operations and automatic differentiation to neural network architecture, data preparation, model training, validation, optimization, GPU acceleration, distributed computing, and production deployment.You'll also explore essential topics such as computer vision, natural language processing, transformer architectures, generative models, graph neural networks, reinforcement learning, scientific computing, mixed-precision training, model serving, performance optimization, responsible AI practices, and scalable production workflows. Every chapter is designed to help you develop practical skills that can be applied to research projects, academic work, and real-world AI applications.Instead of simply explaining concepts, this handbook focuses on helping you understand how the entire deep learning workflow fits together-from writing your first model to deploying intelligent systems with confidence. Whether your goal is to build smarter applications, improve your technical expertise, or advance your career in artificial intelligence, you'll gain a solid foundation and a valuable reference you can return to whenever you need it.Take the next step in your deep learning journey-add this handbook to your library today and start building powerful AI solutions with PyTorch 2.13. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New. Print on Demand.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. Ready to master modern deep learning with confidence? Whether you're just beginning your artificial intelligence journey or looking to strengthen your professional machine learning skills, this handbook provides a practical, structured path from the fundamentals to advanced real-world applications.You'll learn how to build, train, optimize, and deploy powerful neural networks using PyTorch 2.13 through clear explanations, professional examples, and hands-on code. The content progresses naturally from tensor operations and automatic differentiation to neural network architecture, data preparation, model training, validation, optimization, GPU acceleration, distributed computing, and production deployment.You'll also explore essential topics such as computer vision, natural language processing, transformer architectures, generative models, graph neural networks, reinforcement learning, scientific computing, mixed-precision training, model serving, performance optimization, responsible AI practices, and scalable production workflows. Every chapter is designed to help you develop practical skills that can be applied to research projects, academic work, and real-world AI applications.Instead of simply explaining concepts, this handbook focuses on helping you understand how the entire deep learning workflow fits together-from writing your first model to deploying intelligent systems with confidence. Whether your goal is to build smarter applications, improve your technical expertise, or advance your career in artificial intelligence, you'll gain a solid foundation and a valuable reference you can return to whenever you need it.Take the next step in your deep learning journey-add this handbook to your library today and start building powerful AI solutions with PyTorch 2.13. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…