Understanding Convolutional Neural Networks (CNNs) Through Excel

A novel approach demonstrates how to construct a simplified Convolutional Neural Network (CNN) within Microsoft Excel, enabling a transparent view of the learning process typically regarded as a "black box." By translating core CNN operationssuch as convolution, pattern detection, and feature extractioninto Excel formulas and calculations, this method allows users to observe each step of how images are analyzed and patterns are recognized, fostering a deeper understanding of deep learning fundamentals. This innovative technique leverages Excel's computational capabilities to demystify complex neural network processes, making the mechanics of shape and pattern detection accessible to a broader audience. It