Deep Learning for Multimodel Systems | Data Science Summer School 2023

Instructor: Prof. Christian Arnold

This course offers an introduction into the basics of multimodal machine learning and discusses multimodal representations, their alignment, their fusion and how to make neural networks co-learn from multiple modalities. During the module you will understand the relevant core concepts of multimodal learning. Using key neural network architectures, you will be able to train joined representations and apply them to supervised classification tasks.