From a single neuron to forward propagation and classification
Neurons, layers, and how networks learn
How data flows through a network
The simplest neural network — one neuron, one decision boundary
How bias terms shift activation and shape decision regions
Two kinds of prediction and when to use each
Turning raw scores into probabilities