Ask HN: Would it be possible to deep learn cosmic background radiation?

What exactly are you asking?

Could a NN be trained on some parts of the map and then tested on the rest? Sure, but why?

could it just learn from the cosmic radiation to further understand it.

That's not how deep learning works as I understand. Training and testing a NN on CBR would give you, at best, a NN with weights that was really good at recognizing parts of the CBR. Would you be inspecting the arrangement of weights and netowork? Would you look at other data trying to find hidden instances of parts of CBR? In pop music or old paintings?!

Or, maybe you could expand on what you mean by learn and understand in this instance.