Plans for the week January 30-February 3

Dear all, first thx so much for having chosen FYS5429/9429. After our first meeting where we discussed possible research paths, I have made a questionnaire based on your inputs. Furthermore, I have also added possible options for the evaluation format. You will find the questionnaire at
https://docs.google.com/forms/d/18m0IY8_ElbtsEdTatxhO6JdSOGRHvWy5ZDe8oZoHL6A/edit

Also based on your inputs, we will have regular lectures which will also form the basis for a possible project 1. 
Unfortunately we cannot please everybody, however, the suggested lecture path overlaps well with those of you interested in advanced deep learning methods and physics driven ML.

We will start this week with a review of neural networks before we move over to convolutional neural networks and recurrent neural networks. The aim is to develop our own codes for this. That can also form the basis for project 1. After this we will discuss autoencoders and generative adversarial networks and we will focus on solution of selected differential equations (for example the Navier-Stokes equations). 

With the material there are several other options for a possible project 2 where own data sets can be included and/or we can focus on Bayesian statistics, Bayesian ML and other topics. 

Hope this can be of use for your own research. On Wednesday we will thus have a regular lecture where we discuss the basics of neural networks.

Best wishes to you all,
Morten