Tutorial Generative Models

- for the 2nd Terascale School of Machine Learning

Part I: Generative Models and GANs

• Lecture Deep Learning Week, Uppsala:
• Lecture 2nd Terascale School, Hamburg: Find the slides for the lecture on generative models here!
• Tutorial: Design of vanilla GANs

Part II: Advanced Techniques / Wasserstein GANs

• Lecture Deep Learning Week, Uppsala:
• Lecture 2nd Terascale School, Hamburg: : Find the slides for the lecture on advanced GAN methods here!
• Tutorial: Wasserstein GANs

Solutions for the tasks can be found in the respective "solution" branch

Software requirements:

Install the requirements via:

pip install -r requirements.txt

Major

• tensorflow 2.4.0
• matplotlib
• numpy
• gdown

Minor

• imageio
• pydot

In addition, for visualization purposes install graphviz (https://graphviz.org/)