BITESIZE | The Why & How of Bayesian Deep Learning, with Vincent Fortuin
Learning Bayesian Statistics
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Navigating Research Implementation in Bayesian Deep Learning
This chapter explores the challenges of translating advanced research into usable tools, with a focus on PyMC and Gaussian Process techniques. It highlights the complexities of understanding methodologies and offers insights on selecting suitable methods within deep learning frameworks.
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