This repo contains a pytorch implementation of DCCA, DCCAE, and a CNN-based DCCA.
Please see /data/readme.md
for data preparation of Noisy MNIST.
Reproduce the paper:
Results of ConvCCA
:
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Use ReLU instead of Sigmoid/Non-saturating Sigmoid
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Use ADAM optimizer instead of RMSProp/SGD/…
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Add BatchNorm after each layer.
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DCCAE's AE parts are pretrained with ADAM.