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DescriptionInfinitely wide neural network.webm	English: Left: a Bayesian neural network with two hidden layers, transforming a 3-dimensional input (bottom) into a two-dimensional output $(y_{1},y_{2})$ (top). Right: output probability density function $p(y_{1},y_{2})$ induced by the random weights of the network. Video: as the width of the network increases, output distribution simplifies, ultimately converging to a multivariate normal in the infinite width limit. Note: the video is an artistic depiction of the progression, and not an actual simulation.
Date	13 March 2020
Source	https://ai.googleblog.com/2020/03/fast-and-easy-infinitely-wide-networks.html
Author	Tom Small

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