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Konsti trace regularization #104

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Add regularization to the training of neural networks.
There are two regularizers available:

  • Norm regularizer, which penalizes the weights using a (user-defined) norm function.
  • Trace regularizer, which penalizes the gradients of the weights.
    Each regularizer comes with the option of using a schedule, that scales the effect of the regularization.

knikolaou and others added 12 commits September 14, 2023 18:19
- extend trace reg by its sepearate class
- grad, and norm regularization
- Norm regularizer
- trace regularizer
- grad variance regularizer
A schedule is a function that depends on the current epoch
and rescales the regularization factor.
This function can also be defined by the user.
Add more tests to regularizers
- process model instead of apply_fn
- adapt and add tests
- write example script for the regularizer
"""
import os

os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
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If we can avoid it, it would be better not to have this here.

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