A simple autoencoder for the MNIST data set.

The autoencoder is build using TensorFlow. This example is based on the keras example (https://blog.keras.io/building-autoencoders-in-keras.html). However, instead of using keras as a frontend we implement the autoencoder in the Tensorflow API directly (just for training ;-).