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Design and train two different neural network models for image the inpainting task

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MNIST-RGB-Inpainting

In this part, we design and train two different neural network models for image the inpainting task. In short, inpainting is a process of filling in the missing parts of an image.

The link to dataset is MNIST

Using PyTorch is mandatory for this Code.

Note that this code needs a CUDA-enabled GPU to be able to train the models in a reasonable time. If you do not have one, it is suggested to use the Colab environment.