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Other data sets #1
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@achaiah Sorry for the late reply. This generator is currently implemented to replicate the results of the original paper on the CIFAR dataset. I haven't implemented the generator for ImageNet. The CIFAR ResNet accepts 32*32 inputs, and outputs 10 scores for 10 classes. So if you want to adapt the CIFAR ResNet to your own dataset, you should change |
@Coldmooon : by the way do you happen to still have the preprocessed datasets for CIFRAR10? or share the script as well for a quick and hassle free benchmark comparing your results and ours? |
@Coderx7 : The ZCA whitened CIFAR dataset (no pad) can be downloaded from https://gist.github.com/mavenlin/e56253735ef32c3c296d#descriptions. The ZCA whitened CIFAR dataset ( padded with 8 pixels for each side ) can be found here, For the 4-pixel padding case, the script is at https://github.com/lisa-lab/pylearn2/blob/master/pylearn2/scripts/datasets/make_cifar10_gcn_whitened.py |
How could this generator be adapted to a custom data set?
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