Ergebnisse für: Gradient-Based Optimization Techniques

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Buch Cover Optimization Techniques for Deep Learning
Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei, Panos M. Pardalos
Springer International Publishing
160.49 € · Hardcover
deep learning vanishing gradient problem gradient-based optimization CNN optimization
This book offers a comprehensive guide to optimization techniques in deep learning, a transformative branch of artificial intelligence that has revolutionized fields from computer vision to healthcare. By bridging the gap between theoretical concepts and practical applications, it equips readers wit...
Buch Cover Optimization Techniques for Deep Learning
Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei, Panos M. Pardalos
Springer International Publishing
160.49 € · eBook
deep learning vanishing gradient problem gradient-based optimization CNN optimization
This book offers a comprehensive guide to optimization techniques in deep learning, a transformative branch of artificial intelligence that has revolutionized fields from computer vision to healthcare. By bridging the gap between theoretical concepts and practical applications, it equips readers wit...
Buch Cover Mathematical Foundations of Nature-Inspired Algorithms
This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and algorithms, this book moves on to provide a unified framework of mathematical analysis for convergence and stability. Specific nature-inspired algorithms include...
Buch Cover Mathematical Foundations of Nature-Inspired Algorithms
This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and algorithms, this book moves on to provide a unified framework of mathematical analysis for convergence and stability. Specific nature-inspired algorithms include...

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