Literature and extra resources

Old exams

Download Old exams DD2432 with answers 2014-2017

and see Past exams on the main course webpage.

Course reading material

Main books:

Stephen Marsland, Machine Learning, an Algorithmic Perspective. 2009, CSC-Press
ISBN 1420067184

Ian Goodfellow and Yoshua Bengio and Aaron Courville, Deep Learning. 2016, MIT Press


Recommended books:

Raul Rojas. Neural Networks - A Systematic Introduction (available on-line for free)

website,  Links to an external site.local copy of pdf, table of contents

Christopher M. Bishop, Neural Networks for Pattern Recognition. Oxford University Press

Simon Haykin, Neural Networks and Learning Machines. 2009 (third edition), Pearson International Edition.

 

Extra resources

Useful links and tools

website http://deeplearning.net Links to an external site.with plenty of tutorials, reading materials, and recent research in the field (a comprehensive list of tools can be found here: http://deeplearning.net/software_links/ Links to an external site.)

http://scikit-learn.org/stable/index.html Links to an external site.

https://www.tensorflow.org/ Links to an external site.

https://keras.io/ Links to an external site.

https://se.mathworks.com/products/neural-network.html Links to an external site.

Some older ANN contests