This article is part of a series that covers probabilistic approaches to deep learning. Bayesian Deep Learning is an emerging field that combines the expressiveness and representational power of deep learning with the uncertainty modeling capabilities of Bayesian methods. This article provides a comprehensive introduction to Bayesian Deep Learning, covering its foundations, methodology, and recent advances, and aims to present the fundamental concepts and ideas in a clear and accessible manner.
