I think it’s relatively straightforward to serialize such a model into different representations, I completely understand that they keep the actual data inside pytorch state by default.

Out of curiosity, what tools are researchers generally using to explore neural networks? I’m just an armchair ML enthusiast myself, but NN always appear very much like black boxes.

What are the goals and methods for exploring neural network state nowadays?