Unsupervised networks
No feedback to say whether an output was right or wrong
Network must discover patterns in the input data by itself
- Only works if there are redundancies in the input data
- Network self-organizes to find these redundancies
- Clustering: Decide which group an input belongs to
- Principal component analysis: How similar is a pattern to prior inputs (find the principal eigenvector)