BITESIZE | The Why & How of Bayesian Deep Learning, with Vincent Fortuin
Learning Bayesian Statistics
Navigating the Landscape of Bayesian Deep Learning Libraries
This chapter delves into the synergies between deep neural networks and Gaussian processes, underlining their functional similarities. It also addresses the hurdles in Bayesian deep learning, including the absence of a cohesive library for diverse inference methods, while evaluating current tools and the necessity for a more unified solution.
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