A 2019 project demonstrates Convolutional Neural Networks built using the array-oriented language APL. The implementation leverages APL's native multidimensional array handling to simplify tensor operations. While functionally sound, the approach remains a technical curiosity rather than a practical alternative to Python. It proves that concise syntax can replace verbose deep learning frameworks.