One network. Three ways to explore how it learns.
Turn a knob and follow its effect through the network.
Watch the average cost fall. Does every prediction improve?
Make a prediction, train the network, then examine its limits.
Each version starts with random weights, uses the same examples as the slides, and plots the real training cost.