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christiancosgrove avatar christiancosgrove commented on August 15, 2024

After a few more hours of training, test error continues to drop; default hyperparams seem to be working. It seems that training the networks to produce realistic samples and training to do semi-supervised learning happen at different timescales.

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alpapado avatar alpapado commented on August 15, 2024

About how many epochs are required before the test error gets close to the value reported in the paper?

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zychen2016 avatar zychen2016 commented on August 15, 2024

Hello!why discriminator dense layer just have 10 units? why not 10+1(real/fake)?

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daixiangzi avatar daixiangzi commented on August 15, 2024

Hello!why discriminator dense layer just have 10 units? why not 10+1(real/fake)?

because other(11) class be eliminated,
图片

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daixiangzi avatar daixiangzi commented on August 15, 2024

Has anyone managed to reproduce the exact results for semi-supervised learning using train_cifar_feature_matching.py? With the default hyperparameters and 4000 labeled examples, I'm overfitting and getting 32% test error after 48 epochs. Getting 0.5% training error. Paper claims to get test error of only 18.6% on this task.

Do I need to train longer (for the full 1200 epochs?), or are others having this same problem?

i meet same problem,final your results test erro?

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