EDIT 2 I've changed this question from the general version below to a more specific one. In the GradCAM paper section 3 they implicitly propose that two things are needed to understand which areas of an input image contribute most to the output class (in a multi-label classification problem). Tha...

Information-theoretic view of Bayesian learning I once heard that the problem of approximating an unknown function can be modeled as a communication problem. How is this possible? Yes, this is indeed possible. More precisely, there is an information-theoretic view of Bayesian learning in neural...