There's still time! Find the perfect Father's Day gift with store pickup | Shop NowThere's still time! Find the perfect Father's Day gift with store pickup | Shop Now
Add Item to wish listAdd Item to wish list

Theoretical Foundations of Deep Learning

By Christopher Bülte (Editor), Martin Burger (Editor), Matthias Hein (Editor), Gitta Kutyniok (Editor), Sebastian Pokutta (Editor), Ingo Steinwart (Editor)
Hardcover
$199.99
By Christopher Bülte (Editor), Martin Burger (Editor), Matthias Hein (Editor), Gitta Kutyniok (Editor), Sebastian Pokutta (Editor), Ingo Steinwart (Editor)
Promotion message icon
Premium Members save an extra 10% and all Members collect stamps to save with Rewards. 10 stamps = $5.Learn More
Formats
This item will be released on Jul 22, 2026
Free standard shipping on orders over $60
This book offers a comprehensive exploration of the theoretical foundations of deep learning, bridging the gap between its ever increasing empirical success and rigorous mathematical understanding. With a focus on interdisciplinary approaches, it illuminates the interplay between mathematics, statistics, and computer science to address pressing challenges in deep learning research. While deep learning continues to revolutionize industries such as healthcare, gaming, and autonomous systems, ...