I have normal question which I thought. Imagine if I have a model(either linear regression or neural network …etc) and trained on certain Data(D) which has 1000 samples(for example) and now after I finished training if I discarded the data. So, now I am left with model (either linear regression or neural network …etc).
My question is Can we infer anything(literally) about the data just from the Model?
Just an open ended question curious to know other views or any links related to these topic.
Thank you all in advance