Course lab of DD2432 Artifical Neural Network and Other Learning Systems at KTH.
lab 1: feedforward networks [slide]
- one-layer-perceptron network
- two-layer-perceptron network
lab 2: RBF networks [slide]
- supervised learning of weights (batch learning with least square; online learning with delta rule)
- RBF placement (competitive learning; expectation maximization)
lab 3: self-organizing maps [slide]
- data clustering
lab 4: Hopfield networks [slide]
- Hebbian learning
- synchronous and asynchronous pattern update