A developer implemented Convolutional Neural Networks using APL, a language known for its dense array processing. The project demonstrates how APL's mathematical primitives simplify the tensor operations required for vision tasks. It serves as a technical exercise in minimalism. Practitioners can evaluate how high-level array languages reduce the boilerplate code typical of PyTorch.