Comments (4)
I will look into the masking issue, but currently on some other things. So, can you make a PR if you have already fixed the issue or you want to.
Regarding the mini batch thing, you should rely on random sampling. If you remove after each sampling, you are not giving equal weight-age to every datapoint. Whether same sample is generated multiple times(which is quite rare) or highly overlapping sample, that should be probabilistic in nature.
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I'm not sure how to make changes, but removing the assert for the mask noise seems to work for me. Surely it's just another small fix to keep the assert, but make it work right
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I noticed a bug there related to mask noise. I will be pushing soon!
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Hope the issue is solved now. Kindly check if the latest commit works!
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Related Issues (11)
- Other dataset than mnist HOT 2
- UnboundLocalError: local variable 'l' referenced before assignment (at stacked_autoencoder.py#L128) HOT 1
- Content of data/ in top directory HOT 3
- Evaluation HOT 1
- Saving and restoring the model
- utils missing HOT 1
- Cannot get cross-entropy to work HOT 14
- How to decode the transform result? HOT 7
- AutoEncoder Graph Construction HOT 3
- Blas GEMM launch failed HOT 3
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