Work through the following exercises on your own:

1. Explain the difference between unsupervised learning, supervised learning, and reinforcement learning. This is more of a thought exercise, but it will be beneficial to really understand the difference.
2. Modify the original NN example to warn you when objects are detected past a certain distance.
3. What happens in the second example if you order the inputs by length? Does it still work?
4. Add an additional output neuron to the network in the second example. You will also need a new training button and will need to modify the TrainNetwork function to take two inputs.