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Denoising Autoencoder

This project implements an autoencoder in Tensorflow and investigates its ability to reconstruct images, from the MNIST dataset, after they are corrupted by artificial noise.

Sample:

Setup

Installation: sudo pip install -r requirements.txt
Run: jupyter notebook Denoise_Autoencoder.ipynb

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Denoising Autoencoder on MNIST implemented in Tensorflow

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