François Fleuret is a Full Professor and head of the Machine Learning group in the Department of Computer Science at the University of Geneva. He has contributed extensively to the field through over 130 publications in international conferences and journals This book, "The Little Book of Deep Learning," is a concise introduction to deep learning tailored for readers with a STEM background. Originally designed for readability on phone screens, it offers an accessible entry point into the field. The latest version, v1.2, was updated on May 19th, 2024. It is freely distributed under a non-commercial Creative Commons license and has been downloaded over 600,000 times within a little over a year. Highlights: - Provides a clear and brief introduction to deep learning for readers with a STEM background. - Formatted for readability on small screens, such as phones, ensuring accessibility anywhere and anytime. - Covers key concepts in deep learning, including neural networks, training processes, and practical applications. - Balances theoretical foundations with practical insights for a well-rounded understanding of the field. - Regularly updated content - Distributed under a non-commercial Creative Commons license, making it freely available for download. - Tailored for those with a STEM background, ensuring content is relevant and appropriately challenging. - Excellent introductory resource providing a solid foundation in deep learning.