A thermal image taken by a thermal camera and an RGB color picture were arranged in a dataset pair; the datasets were learned using a deep learning algorithm called pix2pix. After the sufficient training in the machine learning, it was possible to generate a thermal image from a color image taken with a digital camera. This paper provides a new method of generating thermal image without a thermal camera; the thermal camera is required when we create training materials. Furthermore, a method for detecting abnormal temperatures using deep learning is proposed. Features of thermal images are concerned and evaluated the results of our method.