Just an autoencoder example, specifically for the MNIST dataset. This compresses the image from 786 dimmensions down to 8.

>>> python autoencoder.py

This will automatically download the MNIST dataset. Batch size is set to 1000 so you might want to change it depending on your system. A checkpoint is included in the checkpoint folder, and will automatically be loaded upon running. To train your own, delete the checkpoint.

It didn't do too bad considering the images are compressed to only 8 dimensions. Below are some examples.