Abstract
Convolutional Neural Networks (CNNs) highly improved image-pattern recognition tasks primarily due to their feature learning function (encoder). However, the absence of designing methodologies under expert control often results in obscure (``opaque-box'') functionality models that are more complex than necessary. This project aims to develop a human-in-the-loop approach to build the encod…