I have a completely beginner question about the setup of artificial neural networks. Basically it boils down to:
- How do I put in data and get results? For example, classification: let say I have 10 input features, all numerical, and 5 output classes.
- How do I set up my input layer and my output layer? Would it be good to have 10 input nodes, one for each feature and feed each node a single numerical value during feed forward evaluation?
- How about the output layer? Should I set up 1 node, 5 nodes?
- What is the classification rule for neural networks?