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autoEncoders

This example demonstrates how to implement a deep convolutional autoencoder for image denoising, mapping noisy digits images from the MNIST dataset to clean digits images

For training the model

python mnist_autoencoders.py train

Run and test the output

python mnist_autoencoders.py run

Output

figure_1.png figure_1.png