Course name: workshop in machine learning applications for computer graphics

סדנה ביישומי למידת מכונה לגרפיקה ממוחשבת

Course description:

In this workshop we will focus on the ground breaking method of generative adversarial networks (GAN). GANs are a class of deep learning architectures used to learn a deep representation of given data and synthesize new data.

GANs achieve state of the art results in many applications such as image synthesis, style transfer and image super-resolution.

The first two weeks of the workshop will include lectures on the basics of deep learning networks and GANs. Afterwards, each group of three students will present a paper to the class and work on a project. None of the necessary infrastructure is required of you as you will be working on google colab and aws.