Deep learning with functional data

Deep learning, which uses multilayer neural networks for prediction and classification, is a highly successful tool for nonlinear analysis, but its use in the analysis of large volumes of functional data is still rather rare. The aim of this thesis will be to explore the current state of knowledge in this area, compare specific methods, and apply them to empirical relative data from the field of health science.