Deep Learning and the New Bayesian Golden Age

September 24, 2015 Nicole Hemsoth If one were to look at the approximate results from various deep learning tasks; from image classification to speech recognition and beyond, the stand-by quote from Bayesian statistics that “probability is orderly opinion, and that inference from data is nothing other than the revision of such opinion in the light of relevant new information,” takes on added weight. This is not to say that the two fields are fundamentally interlinked, but conceptually, just as the decades-old ideas of Bayesian statistics are finally coming around into the mainstream view again, so too are deep learning algorithms, many of which were developed many years ago but lacked the infrastructure to find a fit in practical reality. And as an interesting juxtaposition, the science of exact figures, statistics,…

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