To prove the acceleration of R&D by cyber-physical systems (CPSs), we are challenging to develop semiconductor manufacturing system for novel semiconductor devices by using CPSs such as deep learning. In this presentation, we report estimation of the device characteristics of low temperature polycrystalline silicon thin film transistors through deep learning.