A 2019 project implements Convolutional Neural Networks using the array-oriented language APL. The code leverages APL's native multidimensional array handling to condense complex tensor operations into a few lines. While academically interesting, the implementation lacks the optimization of modern frameworks. It serves as a technical exercise in concise mathematical notation rather than a production tool.