A simple implementation of a denoising convolutional autoencoder that uses PyTorch to reconstruct images from the MNIST dataset after injecting some white noise.
The dataset is saved in a .mat file.
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Implementation of a denoising convolutional autoencoder for the MNIST dataset.
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