As part of a learning more about deep learning, I have been experimenting with writing ResNets with Dense layers to do different types of regression.
I was interested in trying a harder problem and have been working on a network that, given a private key, could perform point multiplication along ECC curve to obtain a public key.
I have tried training on a dataset of generated keypairs, but am seeing the test loss values bounce around like crazy with train loss values eventually decreasing after many epochs due to what I assume is overfitting.
Is this public key generation problem even solvable with a deep learning architecture? If so, am I doing something wrong with my current approach?