From sketch concepts to concrete design layouts, the deep learning network learns 3000 examples of architectural layouts. The architect only needs to input the sketch design intent and conditional constraints. The deep learning network then lays out a layout that meets the architect’s preferences and constraints based on the database. The data shows that we are able to predict building layouts with 96% accuracy (40% masking rate) after only 16 rounds of training.