Priors for BNNs, based on: "Wenzel et al.: What Are Bayesian Neural Network Posteriors Really Like?, 2020", "Noci et al.: Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect, 2021", "Fortuin et al.: Bayesian Neural Network Priors Revisited, 2021" and "Immer et al.: Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning, 2021"