Blog posts


Transfer Learning in Bayesian Neural Networks

1 minute read


Let’s imagine we want to auto-encode images and detect unusual ones. We will use a Variational Autoencoder for this. However, our images come from different sources. They could have been captured by different photographers with different styles. If we treat all images as one dataset, all new photos from an extravagant photographer using bright colours and sharp contrast will have a low likelihood under our model, even though for this particular photographer it might fit in with the rest of her oeuvre.