Physics-Based Deep Learning

This book contains a practical and comprehensive introduction of everything related to deep learning in the context of physical simulations, focuses on physical loss constraints, more tightly coupled learning algorithms with differentiable simulations, training algorithms tailored to physics problems, as well as reinforcement learning and uncertainty modeling.