Interactive Systems Labs (ISL)

Advanced Topics in Continual / Organic Machine Learning

  • type: Seminar (S)
  • semester: SS 2020
  • time:

    Zeiten werden noch angepasst!!! Times will be adjusted!!

     

    2020-04-22
    17:30 - 19:00 wöchentlich




    2020-04-29
    17:30 - 19:00 wöchentlich



    2020-05-06
    17:30 - 19:00 wöchentlich



    2020-05-13
    17:30 - 19:00 wöchentlich



    2020-05-20
    17:30 - 19:00 wöchentlich



    2020-05-27
    17:30 - 19:00 wöchentlich



    2020-06-03
    17:30 - 19:00 wöchentlich



    2020-06-10
    17:30 - 19:00 wöchentlich



    2020-06-17
    17:30 - 19:00 wöchentlich



     

    Zeiten werden noch angepasst!!! Times will be adjusted!!

    2020-06-24
    17:30 - 19:00 wöchentlich



    2020-07-01
    17:30 - 19:00 wöchentlich



    2020-07-08
    17:30 - 19:00 wöchentlich



    2020-07-15
    17:30 - 19:00 wöchentlich



    2020-07-22
    17:30 - 19:00 wöchentlich




     

  • lecturer: Stefan Constantin
    Prof. Dr. Alexander Waibel
  • sws: 2
  • lv-no.: 00065
Notes

In many areas, neural networks have achieved a performance comparable to or better than that of humans. However, neural networks usually learn in a different way than humans. The neuronal networks are trained with gigantic data sets and after learning these data sets they are used in production. Humans learn continuously from their interaction with their environment. In organic machine learning, neural networks should learn in the same way as humans.
In this seminar, current research results on different aspects of such organic learning
neural networks are presented. Possible topics are Reinforcement Learning, integration of knowledge,
learning concepts, feedback mechanisms, ...