dimensionality-driven-learning
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Network architecture in github doesn't match the description in ICML paper
Thank you for sharing your code! Can you resolve my confusion?
When I observed network architectures in models.py in this github, it didn't match the description in ICML paper that you wrote. LeNet5 that was used here is not like normal LeNet5 I know, CNN used for svhn in models.py is only 5-layer when it is said to use 6-layer in paper. CNN used for cifar10 in models.py is only 8-layer when it is said to use 12-layer in paper.
Thank you!