dumbmachines t1_j0ztjdq wrote
Have you tried something like this?
You're not able to overfit on the hard examples alone? Why not?
Dartagnjan OP t1_j103ef6 wrote
- I have already tried my own version of selective backprob, but thanks for the link. this is exactly what I was looking for. I want to know how other people implement it and if I did something wrong.
- Overfitting on the hard examples is a test that I carried out already multiple times but not yet on the latest experiments. Thanks for reminding me of this. I guess from this I can infer whether my complexity is definitely too low, if I cannot overfit. If I can overfit. If I can overfit on the hard examples it does not mean the model is able to handle easy and hard examples at the same time, still.
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