In this paper, we investigate how to model geometric reasoning (a form of visual reasoning) using deep neural networks (DNN).
we address the task of answering questions through geometric reasoning-both the question and answer are expressed in symbols or words, but a geometric representation is created and used as part of the reasoning process.