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RACNN

This project is implemented by Caffe, Python and Matlab RSRCNN_train: resudial image super-resolution convolutional neural network is used to train the model for fine-tuning the RACNN.

Classification_CNNs: it contains two networks Alexnet and VGGNet, and Python codes (notebook) are provided to train the RACNN.