Convolutional Neural Networks

Abstract

This chapter considers convolutional neural (CN) networks. These are special network architectures that are useful for time-series and spatial data modeling, e.g., applied to image recognition problems. Time-series and images have a natural topology, and CN networks try to benefit from this additional structure (over tabular data). We introduce these network architectures and provide insurance-relevant examples related to telematics data and mortality forecasting.