Training new autoencoder models 

This Python notebook offers some of the functionality used to train our autoencoder models. Using this code, we can generate simple models with predefined hyperparameters of different input datasets. We recommend interested readers to access our  repository for direct access to our hyperparameter optimizer. As this is an intensive process, we recommend to run the optimization on specialized hardware.