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Deep Learning in Astrophysics
Deep Learning in Astrophysics explores how modern neural networks are transforming our understanding of the universe. The book bridges cutting-edge AI techniques with real astrophysical problems, showing how deep learning models can detect exoplanets, classify galaxies, analyze cosmic structures, and accelerate complex simulations. It explains concepts in clear, intuitive language while grounding them in real scientific applications, making it accessible to both beginners and advanced readers. From convolutional networks used in telescope imaging to transformer-based architectures for time-series signals, the book demonstrates how AI is reshaping research across cosmology, high-energy astrophysics, and space exploration. Whether you are a student, researcher, or AI enthusiast, this work offers a practical and inspiring introduction to the rapidly growing field of astro-AI.
51 pages, Kindle Edition
Published November 18, 2025
2 people want to read
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