Deep Learning and Inverse Problems

Big data and deep learning are modern buzz words which presently infiltrate all fields of science and technology. These new concepts are impressive in terms of the stunning results they achieve for a large variety of applications. However, the theoretical justification for their success is still very limited. In this snapshot, we highlight some of the very recent mathematical results that are the beginnings of a solid theoretical foundation for the subject.

Keywords

Analysis, Numerics and Scientific Computing

URI

https://oa.tib.eu/renate/handle/123456789/9918
http://dx.doi.org/10.34657/8956

Citation

Arridge, S., de Hoop, M., Maass, P., Öktem, O., Schönlieb, C., & Unser, M. (2019). Deep Learning and Inverse Problems. Oberwolfach : Mathematisches Forschungsinstitut Oberwolfach gGmbH. https://doi.org//10.14760/SNAP-2019-015-EN

Collections

Mathematik

License

CC BY-NC-SA 4.0 Unported

https://creativecommons.org/licenses/by-nc-sa/4.0/

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