Artificial intelligence is human learning ability, reasoning ability, perceptual ability, and other artificially implemented computer programs or computer systems including the same. Recently, as interest in artificial intelligence increases, research related to artificial intelligence is increasing. In the field of architecture, research related to the development of architectural technology using artificial intelligence is increasing too. This Research is understanding deep learning by visualizing deep learning data using architectural data, and through this research, a program was created to visualize the results by using real estate data among architectural data and predicting apartment sales prices. In order to predict the apartment sale price, independent variables were derived using reference to previous studies, web crawling technique, and variable selection method. The deep learning learning was conducted using linear regression analysis using the apartment sales price using the residential area, and the predicted value was extracted using the learned deep learning model. Using a deep learning learning model, the predicted data can be checked by inputting an arbitrary residential area value, and the resulting data is visualized on a map.