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A simple convolutional neural network with linear neurons.

Structure: input->convolution->max pooling->convolution->max pooling->fully connected.

Compile the max pooling function in C++ first by

mex MaxPooling.cpp

The data can be downloaded in http://ai.stanford.edu/~amaas/data/data.zip

The data loading functions can be downloaded in http://ufldl.stanford.edu/wiki/index.php/Using_the_MNIST_Dataset

About 98% classification accuracy for 50 epochs of all training data.