Welcome to Advanced Topics of Machine Learning: Neural Architecture Search and Automated Deep Learning (2021)
Description: The Advanced Topics in Machine Learning course covers one or more selected topics of recent advances in machine learning. In particular, this year the course covers neural architecture search. After this course, you will be able to have the knowledge on 1. Underlying mathematical and algorithmic principles of neural architecture search. 2. The key factors that have made neural architecture search successful for some application domains.
Organizer: Professor Bin Yang - byang@cs.aau.dk
Lecturers:
ECTS: 2.0
Time: 28, 29 30 June and 1 July, 9 to 11 AM
Place: Online
Zip code: 9220
City: Aalborg
Number of seats: 30
Deadline:
Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
Description: The Advanced Topics in Machine Learning course covers one or more selected topics of recent advances in machine learning. In particular, this year the course covers neural architecture search. After this course, you will be able to have the knowledge on 1. Underlying mathematical and algorithmic principles of neural architecture search. 2. The key factors that have made neural architecture search successful for some application domains.
- June 28: Automated Deep Learning (AutoDL) Beyond AutoML
- June 29: Neural Architecture Search as a Case Study of AutoDL
- June 30: Hyperparameter Optimization, Data Auto-Preparation
- July 01: Auto-Deployment, Auto-Adaptation, and the Future
Organizer: Professor Bin Yang - byang@cs.aau.dk
Lecturers:
ECTS: 2.0
Time: 28, 29 30 June and 1 July, 9 to 11 AM
Place: Online
Zip code: 9220
City: Aalborg
Number of seats: 30
Deadline:
Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Bin Yang