On Exact Computation with an Infinitely Wide Neural Net

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), pp. 8139-8148, 2019.

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Abstract:

How well does a classic deep net architecture like AlexNet or VGG19 classify on a standard dataset such as CIFAR-10 when its "width"-namely, number of channels in convolutional layers, and number of nodes in fully-connected internal layers - is allowed to increase to infinity? Such questions have come to the forefront in the quest to theo...More

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