CORDIS Project
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This project seeks to improve the theoretical understanding of deep neural networks by developing new mathematical frameworks. The aim is to provide insights into their performance and guide better design practices for critical applications.
Over the last decade, deep-learning algorithms have dramatically improved the state of the art in many machine-learning problems, including computer vision, speech recognition, natural language processing, and audio recognition.
Despite their success, however, there is no satisfactory mathematical theory that explains the functioning of such algorithms.
Indeed, a common critique is that deep-learning algorithms are often used as black box, which is unsatisfactory in all applications for which pe…
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