Overview - Symbolic Deep Learning

Researcher
(Proponent)
Michael Spranger
Project Symbolic Deep Learning
Target master students &/or doctoral students (&/or bachelor students)
Expected Results Development of a library that integrates deep learning with fuzzy logic (collaboration with researchers in Italy and UK)
Tasks implement and test new algorithms integrating neural networks and symbolic computation for tasks in supervised, semi-supervised learning, clustering and Reinforcement Learning
Language English
Skill Python, tensorflow (or similar), knowledge of deep learning, some knowledge of fuzzy logic (plus but not strictly necessary)
Duration 3months and up (Starting from Jan. or after)
Application Deadline February 26th, 2021
Place Sony CSL Tokyo Office
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