Deep Learning (Adaptive Computation and Machine Learning Series)

Deep Learning is an academic textbook from the Adaptive Computation and Machine Learning series. This volume provides a thorough introduction to the key concepts, methods, and mathematical foundations used in contemporary deep learning research.

• Part of the established Adaptive Computation and Machine Learning series
• Covers core topics including neural networks, optimization techniques, and representation learning
• Balances theoretical foundations with practical examples drawn from the field
• Widely adopted as a standard reference for graduate-level courses and independent study
• Print binding designed for repeated reference, classroom use, and long-term shelf life
• New copy sourced from the Adaptive Computation and Machine Learning publishing series

This textbook is well suited for students, researchers, and practitioners working in artificial intelligence, machine learning, and related technical disciplines.