Bern Winter School on Deep Learning
Learn deep machine learning in the mornings and practise your own neural network (brain) while skiing or working in the afternoons.
About
Due to increased access to data and compute capacity Machine Learning and Artificial Intelligence have become useful in many areas. In research and industry it is applied in various fields. Image recognition, online discrimination, natural language treatment, robotics, omics ... you name it.
In this winter school on machine learning you attend lectures and tutorial sessions over four mornings. This happens in Muerren, a great ski resort, in the grand old hotel Regina. You make your own ML project (expected workload 30 hours) and present it in an in-person session at the University of Bern about two weeks later.
Learning outcomes, participants will
- know what ML is
- know basic concepts of neural networks and learning
- know about design and usage of neutal nets
- can mangage basic operations in TensorFlow and know what a computational graph is
- can solve optimization problems
- can use neural networks in TensoFlow for supervised learning
- can visualize learning processes and computational graphs
- can apply TensorFlow for machine learning on own datasets in the project
Target group
- UNIBE staff, students and externals
Prerequisites
- You must bring your own laptop
- Mathematics and statistics at the level of an introductionary course on university level
- Basic Python knowledge
- The training is as language independent as possible, but examples and practical work is in Python
Methods
- Theoretical lectures, evening talks, tutorials (with Jupyter notebooks), project work with presentation or report (can be skipped if you don't want the ECTS points, but own work and presentation increases your skills dramatically)
Certificate
- A certificate will be delivered to participants who have attended the whole training and presented their project work successfully. The school yields 2 ECTS points.
Coaches
- The coaches are local and external experts
For CAS Applied Data Science Colleagues
- This winter school also counts as the Module 6 of the University of Bern Certificate of Advanced Studies (CAS) Applied Data Science.