Exam curriculum

The curriculum in general consists of what we have gone through in class, as well as slides, with the following exceptions:

• The slides on value-based control (subsection 2) from the reinforcement learning lecture will not be part of the curriculum.
• The slides on restricted Boltzmann machines and their applications (from Bayesian Deep Learning and Restricted Boltzmann Machines) will not be part of the curriculum.

Some of the lecture notes will also be part of the curriculum:

• Recurrent neural networks
• Recurrent neural network extensions (except section 4 on recursive neural networks)
• Reinforcement learning (except section 3.2 on value-based control and the appendix)