Breast cancer, a major contributor to global cancer-related mortality, need precise and timely diagnosis methods in order to improve rates of survival. In the field of medical image analysis, there have been notable breakthroughs in machine learning, namely in the area of deep learning, which have shown considerable promise. This research paper introduces a specialized deep convolutional neural network (DCNN) model designed specifically for the purpose of predicting breast cancer using mammography pictures