Applications of Generation and Prediction with Deep Learning

This Thesis explores the use of Generative modelling with Deep Learning while identifying and improving upon the limitations of existing methods, specifically the generalisation of trained models to out-of-domain tasks. This Thesis also discusses issues around the use of digital content without explicit consent from the original creator and outlines techniques that could enable creators to identify when their content has been used to train a Generative model.