The next problem

A neural network can make decisions that one neuron cannot.

But the larger design creates a new training problem.

With one neuron, every weight feeds directly into the final answer. In a network, many neurons and weights contribute before the answer appears.

When that answer is wrong, which weights should change, and by how much?

Building the network solves one problem. Training all of it is the next.