A 2019 technical demonstration implements a convolutional neural network using APL, a language known for its array-processing power. The project leverages APL's concise syntax to handle high-dimensional tensors without traditional loops. This serves as a niche exercise in functional programming. It offers minimal practical utility for modern deep learning practitioners.