The big picture before the equations
A gentle, big-picture course for absolute beginners — starting with why AI exists at all, and building up a clear, correct mental model of how Artificial Intelligence, Machine Learning, and Deep Learning actually relate to each other.
2 chapters · 34 min
1 chapters · 19 min
4 chapters · 68 min
The two very different kinds of knobs inside every model
The two numbers every prediction is quietly built from
The invisible line every classifier draws through your data
The single fact that explains why deep learning exists
7 chapters · 138 min
How a network turns raw input into a real prediction
How a model actually knows it's wrong
The downhill walk that turns loss into learning
The one number that decides whether training crawls, learns, or blows up
How error flows backward to teach every weight in the network
The four words every training log throws at you, untangled
Smarter ways to walk downhill than plain gradient descent
3 chapters · 58 min
1 chapters · 35 min
Three words people mix up constantly — untangled for good