OPTIMIZATION TECHNIQUE FOR FORMING DNN CAPABLE OF PERFORMING REAL-TIME INFERENCES IN MOBILE ENVIRONMENT

摘要

Provided is a system comprising at least one processor implemented so as to execute a computer-readable command, wherein the at least one processor comprises a learning part for learning a deep neural network (DNN)-based style transfer model by using an image of a specific style to be learned, and the style transfer model is a DNN model having a structure in which the number of deep layers is reduced through transfer learning using a previously learned result.