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Approximation via Deep Neural Networks

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ASC - Approximation, sampling and compression in data science

We will discuss the approximation power of deep neural networks.
In particular, we will present classes of functions which can be
efficiently captured by neural networks where classical nonlinear methods
fall short of the task.




This talk is part of the Isaac Newton Institute Seminar Series series.

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