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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Massive scale Gaussian processes with GPflow
Massive scale Gaussian processes with GPflowAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact INI IT. UNQW03 - Reducing dimensions and cost for UQ in complex systems In this talk I'll give an overview of how machine learning techniques have been used to scale Gaussian process models to huge datasets. I'll also introduce GPflow, a software library for Gaussian processes that leverages the computational framework TensorFlow, which is more commonly used for deep learning. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:This talk is not included in any other list Note that ex-directory lists are not shown. |
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