This project is an investigation into using image-to-image translation algorithms to create architecture. This process uses hundreds of paired digital images as training for an algorithm to learn information about the chosen input. This project is based in Venice and focuses on the churches in the city as data to inform the algorithm. The significant number of churches provided information for a series of datasets which were designed to be combined together and create three dimensional buildings from large quantities of two dimensional information. The sets of images aim to explore several different aspects of Venetian churches, from plans to materials. This method allows for the creation of a design that is a mathematical ‘collage’; a visual amalgamation of the history of Venice and its many interesting influences. The information is collated into the design of an art gallery in the city. The project hopes to explore how aspects of machine learning can aid in the creation and design of architecture.