Bayesian deep learning for dark energy
arXiv:2005.06412 · doi:10.5772/intechopen.91466
Abstract
In this work we discuss basic ideas on how to structure and study the Bayesian methods for standard models of dark energy and how to implement them in the architecture of deep learning processes.
Invited chapter for "Cosmology 2020 - The Current State" book
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