A 2019 implementation demonstrates Convolutional Neural Networks using the array-oriented language APL. The project leverages APL's native multidimensional array handling to simplify tensor operations. It proves that concise, mathematical notation can replace verbose deep learning frameworks. This serves as a technical curiosity for researchers exploring alternative programming paradigms for neural architectures.