Deep Learning Generalization. Theoretical Foundations and Practical Strategies, Paperback/Liu Peng

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. Publisher: Taylor & Francis Ltd Author(s): Liu Peng Illustration(s): 62 Line drawings, black and white; 62 Illustrations, black and white Number of pages: 220 Publication date: 2025 Dimensions: 154 x 233 x 15 Cover type: Paperback / softback