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Convexified Convolutional Neural Networks
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Codes for the paper 'Convexified Convolutional Neural Networks' (

To run the code, download the datasets (, extract it to the /data directory, then execute python or python in the /src directory.

The file implements the CCNN model based on numpy and numexpr.

The file implements the baseline CNN model based on Tensorflow.

Note: the current CCNN implementation caches all feature vectors in the memory. It results in a high memory requirement (~10GB for the mnist datasets, ~50GB for the cifar10 dataset).

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