Liu Peng

Gebundenes Buch

Deep Learning Generalization

Theoretical Foundations and Practical Strategies

Beschreibung

This book provides a comprehensive exploration of generalization in deep learning, focusing on both theoretical foundations and practical strategies. It delves deeply into how machine learning models, particularly deep neural networks, achieve robust performance on unseen data.

Autor

Liu Peng is currently an Assistant Professor of Quantitative Finance at the Singapore Management University (SMU). His research interests include generalization in deep learning, sparse estimation, Bayesian optimization.

Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 228
• Erscheinungstermin: 12. September 2025
• Englisch
• Abmessung: 234mm x 156mm
• ISBN-13: 9781032841908
• ISBN-10: 1032841907
• Artikelnr.: 72543884