Machine Learning-Based Automatic Tag Generation Using CNN Algorithm

Abstract

CNNs attempt to capture this pattern using a conceptual network, which represents the knowledge as nodes connected in automatic tag generation. The main advantage of using CNN over other traditional methods is its ability to learn from examples rather than being given a predefined set of rules. The introduction of automatic tag generation using CNN algorithms is described here. The materials that have been used for image detection and tag generation is proceeding with the multiple processes of image detection. YOLO algorithms is used for the experiment, which is critically analyzed. Result describe the experiment outcome of the tagged image, which helps to describe the conclusion.