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Deep Learning with PyTorch, Second Edition: Training and applying deep learning and generative AI models

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Livraison entre le Jeudi 10 septembre 2026 et le Vendredi 11 septembre 2026

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Marque : GENERIC
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Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.PyTorch core developer Howard Huang updates the bestselling original Deep Learning with PyTorch with new insights into the transformers architecture and g...

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Description produit

Marque
GENERIC
Titre
Deep Learning with PyTorch, Second Edition: Training and applying deep learning and generative AI models
Éditeur
Manning Publications
Type de produit
paperback
Présentation du livre
paperback
Date de sortie
3/10/2026 12:00:00 AM
Langue d'origine
English
ISBN
1633438856
Nombre de pages
544 pages
Langue
English
Résumé
Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.PyTorch core developer Howard Huang updates the bestselling original Deep Learning with PyTorch with new insights into the transformers architecture and generative AI models. Instantly familiar to anyone who knows PyData tools like NumPy, PyTorch simplifies deep learning without sacrificing advanced features. In this book you’ll learn how to create your own neural network and deep learning systems and take full advantage of PyTorch’s built-in tools for automatic differentiation, hardware acceleration, distributed training, and more. You’ll discover how easy PyTorch makes it to build your entire DL pipeline, including using the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. Each new technique you learn is put into action with practical code examples in each chapter, culminating into you building your own convolution neural networks, transformers, and even a real-world medical image classifier. In Deep Learning with PyTorch, Second Edition you’ll find: • Deep learning fundamentals reinforced with hands-on projects • Mastering PyTorch's flexible APIs for neural network development • Implementing CNNs, transformers, and diffusion models • Optimizing models for training and deployment • Generative AI models to create images and text About the technology The powerful PyTorch library makes deep learning simple—without sacrificing the features you need to create efficient neural networks, LLMs, and other ML models. Pythonic by design, it’s instantly familiar to users of NumPy, Scikit-learn, and other ML frameworks. This thoroughly-revised second edition covers the latest PyTorch innovations, including how to create and refine generative AI models. About the book Deep Learning with PyTorch, Second Edition shows you how to build neural netwo
Auteur
Luca Antiga, Eli Stevens, Howard Huang, Thomas Viehmann
Date de parution
3/10/2026 12:00:00 AM