{"product_id":"deep-learning-with-pytorch-second-edition-training-and-applying-deep-learning-and-generative-ai-models-9781633438859","title":"Deep Learning with Pytorch, Second Edition: Training and Applying Deep Learning and Generative AI Models","description":"\u003cb\u003eEverything you need to create neural networks with PyTorch, including Large Language and diffusion models.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003ci\u003eDeep Learning with PyTorch, Second Edition\u003c\/i\u003e updates the bestselling original guide with new insights into the transformers architecture and generative AI models. Instantly familiar to anyone who knows PyData tools like NumPy and scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. \u003cp\u003e\u003c\/p\u003eIn \u003ci\u003eDeep Learning with PyTorch, Second Edition\u003c\/i\u003e you'll find: \u003cp\u003e\u003c\/p\u003e - Deep learning fundamentals reinforced with hands-on projects\u003cbr\u003e - Mastering PyTorch's flexible APIs for neural network development\u003cbr\u003e - Implementing CNNs, RNNs and Transformers\u003cbr\u003e - Optimizing models for training and deployment\u003cbr\u003e - Generative AI models to create images and text \u003cp\u003e\u003c\/p\u003e In \u003ci\u003eDeep Learning with PyTorch, Second Edition\u003c\/i\u003e 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. PyTorch makes it easy to build the powerful neural networks that underpin many modern advances in artificial intelligence. This second edition has been thoroughly revised by PyTorch core developer Howard Huang to cover the latest features and applications, including generative AI models. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the book\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003ci\u003eDeep Learning with PyTorch, Second Edition\u003c\/i\u003e is a hands-on guide to modern machine learning with PyTorch. 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 to build a full-size medical image classifier chapter-by-chapter. \u003cp\u003e\u003c\/p\u003eIn this modernized second edition, you'll find new coverage of how to develop and train groundbreaking generative AI models. You'll learn about the foundational building blocks of transformers to create large language models and generate exciting images by building your own diffusion model. Plus, you'll discover ways to improve your results by training with augmented data, make improvements to the model architecture, and perform fine tuning. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the reader\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e For Python programmers with an interest in machine learning. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the author\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003cb\u003eHoward Huang\u003c\/b\u003e is a software engineer and developer on the PyTorch library. During his tenure at PyTorch he has focused on large scale, distributed training. \u003cb\u003eEli Stevens\u003c\/b\u003e, \u003cb\u003eLuca Antiga\u003c\/b\u003e, and \u003cb\u003eThomas Viehmann\u003c\/b\u003e authored the first edition of Deep Learning with PyTorch. \u003cp\u003e\u003c\/p\u003eGet 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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Luca Antiga,Eli Stevens,Howard Huang\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Manning Publications\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 03\/10\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 544\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.58lbs\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781633438859","brand":"Manning Publications","offers":[{"title":"Default Title","offer_id":45342422335625,"sku":"9781633438859","price":59.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0636\/9240\/6921\/files\/img_d024e6cd-d088-44e8-8464-23d484ec802c.jpg?v=1772515356","url":"https:\/\/sonsanddaughtersbooks.com\/products\/deep-learning-with-pytorch-second-edition-training-and-applying-deep-learning-and-generative-ai-models-9781633438859","provider":"Sons and Daughters Books","version":"1.0","type":"link"}