Application Tool for Design, Training and Test of CNNs and SVMs

Abstract

In this manuscript, a user-friendly design and training application for convolutional neural networks (CNNs) and support vector machines (SVMs) is introduced. Two kinds of binary classification systems using CNNs, SVMs and template matching techniques are designed for classifying input images into OK category or NG one including small defects, then the classification results and the usefulness of the tool are shown.