FOLDS seminar: Function Space Perspectives on Neural Networks
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Amy Gutmann Hall, Room 414
3333 Chestnut Street, Philadelphia, United States
Zoom link: https://upenn.zoom.us/j/98220304722 This talk reviews a theory of the functions learned by neural networks with Rectified Linear Unit (ReLU) activations. At its core is the observation that deep ReLU networks can be characterized as solutions to data-fitting problems in certain infinite dimensional function spaces. The solutions are compositions of functions from Banach spaces of […]

