Demystifying Neural Networks: The Matrix Multiplication Foundation

Matrix multiplication is the fundamental operation underlying neural networks, not just a mathematical abstraction. Understanding this core truth reveals why tensor shapes are critical in frameworks like PyTorch and why virtually all deep learning errors trace back to shape mismatches. This insight transforms how developers approach neural networks, shifting from mysterious black boxes to concrete mathematical operations.