Open medakk opened 3 years ago
After completing an optimization run, it would be useful to be able to run a few more optimization iterations(with different hyperparameters?) on the obtained shape model instead of starting from the beginning everytime.
Akin to fine-tuning in deep learning.
Yeah, the only problem is that your end result is probably not reproducible. Unless we are suggesting storing different stages of parameters.
After completing an optimization run, it would be useful to be able to run a few more optimization iterations(with different hyperparameters?) on the obtained shape model instead of starting from the beginning everytime.