Deep Learning with PyTorch (2nd Edition) by Howard Huang, Eli Stevens, Luca Antiga & Thomas Viehmann

Deep Learning with PyTorch (2nd Edition) by Howard Huang, Eli Stevens, Luca Antiga & Thomas Viehmann

PyTorch has become the framework of choice for the world's top AI researchers and engineers — and Deep Learning with PyTorch (2nd Edition) is the definitive guide to mastering it. Fully updated to cover the latest advances in deep learning and generative AI models, this Manning classic teaches you how to train and deploy neural networks that solve real-world problems.

Written by core PyTorch contributors and AI practitioners, every chapter is packed with hands-on code, clear explanations, and practical insights gained from years of building production AI systems. From CNNs and RNNs to transformer models and generative AI — this book takes you from the fundamentals all the way to the cutting edge.

Whether you're starting your deep learning journey or leveling up your skills, this is the one book that grows with you.

? ???? ?? ??????: PyTorch fundamentals · CNNs & RNNs · Transformer models · Generative AI · Production model deployment

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