Module 3

Teachers

Examiner: Hossein Azizpour (azizpour@kth.se)

Teaching Assistants: Erik Englesson (engless@kth.se), Yiping Xie (yipingx@kth.se), Oskar Kviman (okviman@kth.se) 

 

Aim 

In the last module, we plan to familiarize students with some of the advanced topics of deep learning research including probabilistic and generative deep learning.

 

Schedule

Preparations: performed before June 14

Online Sessions: June 14-15

Assignments: performed between June 15-29 (or by August 15)

 

Assignments

 

Materials

Preparation: the preparation constitutes a quick recap of Bayesian modelling and a follow-up pre-study of variational inference. The notes can be found here: Module_3_Prestudy_VI.pdf Ladda ner Module_3_Prestudy_VI.pdf

Implementation Practicals: the list of implementation practicals to be done after the course sessions can be found here: Module 3 - List of Implementation Practicals

 

Deadlines

Home assignment. The standard deadline for the home assignment is June 29, but, in light of the covid-19 restrictions and to accommodate flexible planning of summer leaves we consider a second deadline of August 15. The second deadline will not incur any late submission penalty. The grading will be done by a month after the corresponding submission deadline.

 

Place (online)

All sessions are held online and using Zoom: https://kth-se.zoom.us/j/68686048311?pwd=K1g1Y2RqRVErU1lidWthaGRxRXAyQT09 Links to an external site. 

 

Schedule