{"id":15861,"date":"2026-08-10T11:59:38","date_gmt":"2026-08-10T11:59:38","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/manning-deep-learning-with-pytorch-second-edition-2025\/"},"modified":"2026-08-10T11:59:38","modified_gmt":"2026-08-10T11:59:38","slug":"manning-deep-learning-with-pytorch-second-edition-2025","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/manning-deep-learning-with-pytorch-second-edition-2025\/","title":{"rendered":"Manning \u2013 Deep Learning with PyTorch, Second Edition 2025"},"content":{"rendered":"
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Description<\/h2>\n

Deep Learning with PyTorch, Second Edition is a textbook on building, training, and deploying deep learning models using the PyTorch framework, published by Manning Online Academy. It is a practical, in-depth guide to building, training, and deploying deep learning models using the PyTorch framework. The book takes learners from basic deep learning concepts to advanced model development, with a focus on practical implementations with real-world datasets. The book covers neural network principles, optimization techniques, and modern architectures, while emphasizing PyTorch\u2019s dynamic computational graph and production-ready workflows for research and industrial applications.<\/p>\n

Deep Learning with PyTorch, Second Edition updates the best-selling original guide with new insights into transformer architectures and generative AI models. PyTorch, familiar to anyone familiar with PyData tools like NumPy and scikit-learn, simplifies deep learning without sacrificing advanced features. PyTorch makes it easy to build the powerful neural networks that underpin many of the modern advances in artificial intelligence. This second edition has been completely revised by PyTorch\u2019s original developer, Howard Huang, to cover the latest features and applications, including generative AI models.<\/p>\n

What you will learn in Deep Learning with PyTorch, Second Edition:<\/h3>\n