Obtain knowledge and skills about neural networks and related statistical learning methods.
The course Neural Networks consists of a series of lectures in which several neural network models, neural network learning algorithms and other statistical learning methods will be discussed. There may be a series of lab assignments.
Examination & Grading
Examination will take place through the aforementioned assignments and/or a written exam. The final grade will be a weighted average of the exam grade and the assignment grades.
Use is made of the book Introduction to the Theory of Neural Computation, written by Hertz, Krogh en Palmer, Addison-Wesley Publishing Company, ISBN 0-201-51560-1. Handouts and papers from the neural network literature supplement this book.
More information can be found at the course website