models directory. To train your own network, run automata.py first to train the differential cellular automata and autoencoder to generate good looking MNIST digits. Then using the generated model, ...

Implementation of an autoencoder that uses CoordConv layers to enhance extraction of positional information from images of randomly positioned MNIST digits. Running main.py trains an autoencoder with ...