Deep Learning Theory and Applications

Discover the cutting-edge insights in "Deep Learning Theory and Applications," authored by Allel Hadjali and published by Springer International Publishing AG in 2024. This comprehensive volume, part of the CCIS series, presents a collection of 44 refereed papers from the esteemed 5th International Conference on Deep Learning Theory and Applications (DeLTA 2024), held in Dijon, France, on July 10-11, 2024. With a total of 389 pages, this book showcases the latest advancements and research in the field of deep learning, meticulously selected from 70 submissions to ensure high-quality content. Ideal for researchers, practitioners, and students, this publication serves as an essential resource for anyone looking to deepen their understanding of deep learning applications and theories. Enhance your knowledge and stay ahead in the rapidly evolving tech landscape with this indispensable addition to your library.