- In order to represent non-linearly separable functions we need at least two layers of perceptrons.
- These networks allow complex classification patterns.
- Once we have these complex networks, we need a new algorithm to train them.
- Perceptrons are discontinous so they can't be differentiated. This makes it hard to work with.