- We reimplemented Z2CNN, P4CNN, P4MCNN and P4CNN_RP for MNIST_ROT dataset.
- See
my_gconv_exps/MNIST_ROT/models_tp.py
for detailed usage. - Also we add a chainer version P4MCNN model, which is not presented in the original paper. It performs better than the Z2CNN on mnist rotation dataset.
-
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Group Convolutional Networks implementation using Tensorflow
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