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Deep Learning

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Deep Learning

Beteiligte Personen
Dr. Lukas König
Prof. Dr. York Sure-Vetter

Aktive Projekte

Veröffentlichungen zum Forschungsgebiet

Kevin Förderer, Mischa Ahrens, Kaibin Bao, Ingo Mauser, Hartmut Schmeck
Towards the Modeling of Flexibility Using Artificial Neural Networks in Energy Management and Smart Grids
In ACM, Proceedings of the Ninth International Conference on Future Energy Systems (e-Energy '18), Seiten: 85-90, ACM, New York, NY, USA, Juni, 2018

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Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, partially supervised or unsupervised. (From https://en.wikipedia.org/wiki/Deep_learning)