BITESIZE | The Why & How of Bayesian Deep Learning, with Vincent Fortuin
Learning Bayesian Statistics
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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