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Research Exchanges in the Mathematics of Deep Learning with Applications

CORDIS · observation · Publication date unknown

Research Exchanges in the Mathematics of Deep Learning with Applications The subject of this proposal is “mathematical aspects of deep learning algorithms and their applications”. We will address several questions related to the mathematical foundations of neural networks and set up an interdisciplinary team to aidthe design of test problems and validate the research results obtained. The impact of neural networks and deep learning in recent years has been profound and unprecedented. But in the wake of the vast progress in this area, several questions and concerns have been raised about the robustness, reliability, accuracy, reproducibility and feasibility of neural networks. It is widely recognised that the mathematical sciences, are a key enabling technology in many aspects of machine learning, not the least to resolve some of the above mentioned concerns. Mathematical language and formalism can bring morerigour and precisi

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recordType

award

status

SIGNED

region

EU

value

473800

unit

EUR