CORDIS Project
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This project explores the theoretical foundations of deep learning by applying concepts from statistical mechanics and disordered systems. It aims to develop a model for feature learning in neural networks and create efficient algorithms for deep learning applications.
Computers are now able to recognize people, to tell a dog from a cat, or to process speech so efficiently that they can answer complicated questions.
This was still impossible only a decade ago.
This progress is largely due to the development of the artificial “deep-learned neural networks”.
Nowadays, “deep learning” is revolutionizing our life, prompting an economic battle between internet giants and the creation of a myriad of start-ups.
As attractive and performant as it is, however, many agr…
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
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