A 2019 project implements Convolutional Neural Networks using APL, a language known for its dense array processing. The code leverages APL's native multidimensional array handling to simplify tensor operations. This experiment demonstrates how high-level mathematical notation reduces boilerplate in deep learning. It serves as a technical curiosity rather than a practical tool for production.