Home |  ENGLISH |  Kontakt |  Impressum |  Datenschutz |  Anmelden |  KIT

Deep Learning

Aus Aifbportal

Wechseln zu: Navigation, Suche

Deep Learning


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



Aktive Projekte


Veröffentlichungen zum Forschungsgebiet

inproceedings
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
(Details)

↑ top


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)

-->