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Modular and hierarchical specialization in neural networks

Modularity and hierarchy are fundamental notions in structured system design. By subdividing a large and unstructured problem into smaller and tractable chunks, design automation becomes possible. In this paper we discuss the use of modularity and hierarchy for functional specialization during the development of neural networks. We study the behavioral differences and requirements for back-propaga

Towards a set of eXtreme teaching practices

Many universities have experienced an increase in the intake of students and at the same time cuts in the budgets for teaching. Many teachers have experienced that, for a number of reasons, they have to adjust their teaching or a course with short notice. These facts pose a challenge to the teachers’ agility in adapting to changes – and in doing it in a cost efficient way. We propose eXtreme Teac