Code
01D21220
Duration
01 November 2020 → 31 October 2024
Funding
Regional and community funding: Special Research Fund
Promotor
Fellow
Research disciplines
-
Natural sciences
- Machine learning and decision making
- Neural, evolutionary and fuzzy computation
Keywords
Deep Learning
Reasoning with neural networks
Memory-Augmented Neural Networks
Project description
Deep neural networks lack fundamental capabilities necessary for learning to reason. We will make fundamental changes to existing neural network models that are capable of variable-binding ; a requirement for reasoning and something that conventional neural network models are incapable of. We envision these fundamental changes will support deep learning methods that can solve more complex and generalizable tasks.