The aim of this study is to perform the localization of pre-cervical cancer images using Convolutional Neural Network (CNN) method and guided backpropagation visualization. The pre-cervical cancer image data is evaluated with various CNN models that implement the second type of data augmentation. The research findings show that the CervicoNet model with epoch 200, learning rate 10-3 , and batch…