How Neural Networks Learn: Forward Propagation, Backpropagation & Gradient Descent

A neural network starts out knowing nothing — so how does it learn? This beginner's guide explains the learning loop simply: forward propagation, loss, gradient descent, and backpropagation, with clear visuals and Python.