BDS Summer School: Deep Learning
This one-week Deep Learning course covers theoretical and practical aspects, state-of-the-art deep learning architectures and application examples.
The lectures will introduce students to the fundamental building blocks of deep learning methods, covering the weaknesses and strengths of the different architectures. Students will learn how to tailor a model for a particular application.
The summer course welcomes Master’s and PhD students, alumni, and professionals in economics and related fields who are interested in deep learning. The level is introductory, targeted at participants who would like to familiarize themselves with the topic, and acquire a good basis from which to approach potential deep learning applications.
For the admission requirements, the application form or further information, please visit the Business Data Science website.