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LEARN PYTORCH: Master Creating Deep Learning Models with Flexibility and Efficiency: 30 (Frameworks AI & Machine Learning ENG) - Softcover
- VerlagIndependently published
- Erscheinungsdatum2025
- ISBN 13 9798312289015
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten172
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LEARN PYTORCH: Master Creating Deep Learning Models with Flexibility and Efficiency (Frameworks AI & Machine Learning ENG)
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Learn Pytorch (Paperback)
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Paperback. Zustand: new. Paperback. Welcome to "LEARN PYTORCH: Master the Creation of Deep Learning Models with Flexibility and Efficiency - 2024 Edition," an essential guide to taking your artificial intelligence skills to the next level. Written by Diego Rodrigues, author of over 180 titles published in six languages, this book combines theory and practice to empower you to build innovative and robust applications with PyTorch, one of the world's most popular deep learning libraries.Whether you're a beginner or an experienced professional, this book offers an in-depth dive into the fundamentals and advanced applications of PyTorch. From tensor manipulation to implementing modern architectures like GANs and Transformers, you'll be guided through structured learning and practical exercises designed to solve real-world problems.You will learn how to: Create custom neural networks and train them efficiently.Use advanced features such as distributed processing and GPU training.Develop optimized solutions for computer vision, NLP, and other AI domains.Apply best practices for data preprocessing, augmentation, and model validation.The content includes clear examples, practical case studies, and optimization techniques for different cloud platforms like AWS and Google Cloud. This is the definitive resource for those who want to master PyTorch and turn ideas into technological innovations.If you're ready to harness the power of deep learning, "LEARN PYTORCH: Master the Creation of Deep Learning Models with Flexibility and Efficiency" is your guide to shaping the future with artificial intelligence. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798312289015
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LEARN PYTORCH: Master Creating Deep Learning Models with Flexibility and Efficiency (Frameworks AI & Machine Learning ENG)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Learn Pytorch (Paperback)
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
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Paperback. Zustand: new. Paperback. Welcome to "LEARN PYTORCH: Master the Creation of Deep Learning Models with Flexibility and Efficiency - 2024 Edition," an essential guide to taking your artificial intelligence skills to the next level. Written by Diego Rodrigues, author of over 180 titles published in six languages, this book combines theory and practice to empower you to build innovative and robust applications with PyTorch, one of the world's most popular deep learning libraries.Whether you're a beginner or an experienced professional, this book offers an in-depth dive into the fundamentals and advanced applications of PyTorch. From tensor manipulation to implementing modern architectures like GANs and Transformers, you'll be guided through structured learning and practical exercises designed to solve real-world problems.You will learn how to: Create custom neural networks and train them efficiently.Use advanced features such as distributed processing and GPU training.Develop optimized solutions for computer vision, NLP, and other AI domains.Apply best practices for data preprocessing, augmentation, and model validation.The content includes clear examples, practical case studies, and optimization techniques for different cloud platforms like AWS and Google Cloud. This is the definitive resource for those who want to master PyTorch and turn ideas into technological innovations.If you're ready to harness the power of deep learning, "LEARN PYTORCH: Master the Creation of Deep Learning Models with Flexibility and Efficiency" is your guide to shaping the future with artificial intelligence. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798312289015
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