How Neural Networks Actually Learn: Backpropagation, Gradients, and Training Loop (Developer Guide)

This article details the learning process of neural networks through optimization, covering the training loop from forward propagation to weight updates. It explains the significance of backpropagation and loss functions in computing gradients and adjusting model parameters.