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Convolutional neural network for corrupted image restoration

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JingyuQian/CNN-image-restoration

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CNN-image-restoration

Theano Neural network implementation: convolutional neural network and recursive neural network.

  1. Basic CNN structure for CIFAR-10 dataset classification problem.

  2. Additional noise injection, translation, rotation and flipping as data augmentation approaches to improve the test accuracy.

  3. CNN structure for corrupted image restoration.

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Convolutional neural network for corrupted image restoration

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