Comments (2)
Please refer to the Readme file: "The key thing to take care of during pre-training is early-stop, which means you need stop training once the reconstructed images are reasonably good (visually)." So stop the training periodically and check the quality of reconstructed images (using test_face(Img, CAE, n_input)).
from deep-subspace-clustering-networks.
@panji1990 Is it possible to know the exact epoch at which the pre-training ends? The model seems to be too much dependent on the pretrained weights and it would be great if you could let us know where you stopped the training for the pre-trained weights given in this repo.
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Related Issues (17)
- Need Help
- I can not reproduce your results on dataset ORL in your paper. Is the code the newest? HOT 1
- Replicability of your Research
- Applying Deep Subspace Clustering to High Dimensional Data HOT 1
- Not able to reproduce results, Stopping pre-training for ORL dataset? HOT 1
- ZC or CZ? HOT 2
- Feature selection / extraction HOT 1
- How can I get the specific subspace? HOT 2
- some problem about experiment parameters setting HOT 1
- Could you release your pretrained models of coil20 HOT 1
- Parameters of comparative experiment "EDSC" HOT 1
- Can't find .ckpt file when call saver.restore HOT 1
- diag(coeff) =0? HOT 1
- In this code,the diag(c) is not eaual to 0?
- How to fix the N problem? HOT 1
- image_size HOT 1
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from deep-subspace-clustering-networks.