Professors: Pawel Herman, Erik Fransén
Students:
- Luca Colasanti
- Alessandro Sanvito
- Thuany Stuart
This repository contains the lab assignments for the course DD2437-Artificial neural networks and deep architectures at KTH. Each folder contains the assignment in pdf format, a notebook with the experiments performed for the lab, and the code for a variety of Neural Networks.
In particular, each lab comprises the following implementations:
| Folder | Neural Networks |
|---|---|
| lab1 | Perceptron, Multi Layer Perceptron(MLP) |
| lab2 | Radial Basis Function(RBF) Networks, Self Organizing Maps(SOMs) |
| lab3 | Hopfield Networks |
| lab4 | Restricted Boltzman Machines(RBMs), Deep Belief Networks(DBNs) |