MaxLeiter explains why neural networks are just weighted math

MaxLeiter breaks down the deceptively simple core of neural networks—they're fundamentally systems of multiplied weights and additions. Understanding this foundation matters for indie developers building ML features: it demystifies what's actually happening under the abstraction layers of frameworks like PyTorch or TensorFlow.