Title:
What 2-layer neural nets can we optimize?

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Author(s)
Ge, Rong
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Abstract
Optimizing neural networks is a highly nonconvex problem, and even optimizing a 2-layer neural network can be challenging. In the recent years many different approaches were proposed to learn 2-layer neural networks under different assumptions. This talk will give a brief survey on these approaches, and discuss some new results using spectral methods and optimization landscape.
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Date Issued
2019-10-28
Extent
55:49 minutes
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Moving Image
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Lecture
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