Type:

Summary partly with Solutions

University:

Uni Freiburg

Course:

Lecturer:

Comment:

This summary contains the lecture content + the questions of the lecture slides. Unfortunately I did not have the time to write down the solutions for all of them. 
The exercises and kahoot quizzes are not covered here.
Lecture 13 with probabilistic deep networks and PFNs is missing. 

I hope it helps you to get an overview before the exam. Be aware you should not rely on this to learn for the exam. It will contain not only conceptual questions, but also calculations, complexity, pytorch and so on.

Files:

• Summary_DL.pdf

  6.1 MB