One common strategy for unsupervised learning is that of generative models, the idea of which is: you should give a model the task of producing samples from a given distribution, because performing well at that task require the model to implicitly learn about that distribution. This intuitively makes sense, if you think about it human terms: if we wanted to test that, for exa…