Preparations for lecture on Variational Auto Encoders

As a preparation for the Variational Auto Encoders convocation, make yourself acquainted with the material below, and subsequently complete any tasks assigned to you in canvas.
Note that this is an advanced topic and you will not be required to get all the details of the material.

1. Watch the Video Lecture on Variational Auto Encoders, and its slides
2. Read the Blog post on VAE
3. Have a look at the example code in the jupyter notebook

Additional material

• If you want more details, on VAE, the original preprint is nice.
• A bit out of the context, but still relevant for the lecture, this tool illustrate the effects of architecture and regularization schemes have when training a ANN for different dataset.