A Generative Adversarial Neural Network was trained on thousands of drawings and hundreds of photographs for 100 hours. The impetus for this was the eyes and the way that we see things in our minds.
The network was nurtured through a process I like to call GANCycling, where images are generated and either discarded or improved upon and sent into the dataset for further training.
Audio produced by me.