Fitting optimal parameter values au

Fitting optimal parameter values automatically is called learning of the neural network, and properly defining these parameters determines the neural network's ability. Supervised learning uses data sets consisting of both input and appropriate output information. Thus, deep learning through a CNN using extensive image data has a high potential for clinical application in recognizing clinical images.