Tagged
Backpropagation
ML Math Derivations (19): Neural Networks and Backpropagation
How does a neural network learn? This article derives forward propagation, the chain rule mechanics of backpropagation, vanishing/exploding gradients, and initialization strategies (Xavier, He).
Matrix Calculus and Optimization -- The Engine Behind Machine Learning
Adjusting the shower temperature is a tiny version of training a neural network: you change a parameter based on an error signal. Matrix calculus is the language that scales this idea to millions of parameters, and …