  Deep learning has been the most popular machine learning method in the last
few years. In this chapter, we present the application of deep learning and
physics-informed neural networks concerning structural mechanics and vibration
problems. Demonstration problems involve de-noising data, solution to
time-dependent ordinary and partial differential equations, and characterizing
the system's response for a given data.
