Deep Learning: Foundations and Concepts

Deep Learning: Foundations and Concepts by Chris Bishop and Hugh Bishop is a comprehensive textbook that provides a probability-grounded introduction to modern deep learning. Published by Springer Nature, it became the bestselling book of both 2024 and 2025. The book covers central ideas underlying deep learning, from core concepts to contemporary architectures and techniques, and is designed to endure as the field evolves. It includes a self-contained introduction to probability theory and presents complex ideas through text, diagrams, mathematical formulae, and pseudo-code. The book is organized into bite-sized chapters suitable for a two-semester undergraduate or postgraduate course, as well as for self-study and active research. A free online version is available, and a high-quality hardback edition with stitched signatures and offset printing is offered for purchase. Supplementary materials include downloadable figures and solutions to exercises for chapters 2-10. The book has received endorsements from Geoffrey Hinton, Yann LeCun, and Yoshua Bengio.