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Hi everyone,
We have received your project proposals, which you will soon receive feedback on. Next week we will have the PROJECT KICKOFF in the lecture on Tuesday 8. October.We expect everyone to attend as you will use the lecture to plan your project timeline, milestones and final goals.
The project timeline will include your plan for each week. We expect each group to use GitHub issues in their repository to track the project milestones. Each member should submit a weekly update on the progress of the project and their assigned tasks through the GitHub issues. We also have mandatory attendance in the labs starting next week, as we will use the labs to keep track of your weekly progress. If you cannot attend a lab, please contact the teaching team.
If you have questions about the weekly submissions, we will answer them during the project kickoff next Tuesday.
Good luck on your starting your projects!
Hi everyone,
We are delighted to invite you to a causality talk by Dr. Sara Magliacane. Sara is an Assistant Professor at the Amsterdam Machine Learning Lab at the University of Amsterdam and a Research Scientist at the MIT-IBM Watson AI Lab, and she will be with us during September 17.
Talk Title: Causal Representation Learning...
Hi,
Just a quick reminder that today's session will be at Prolog.
Due to Dagen@ifi, we were relocated to Prolog on Friday 13.09.
Project 1 has been released, with deadline at 6. September 23:59 in two weeks.
If you haven't found a group yet, we encourage you to make a post on discourse. Remember to declare your group by filling out the form https://nettskjema.no/a/in5310-group-declaration.
NB: Your last commit to your group repos before the deadline will count as your final submission. In addition, we require you to submit the PDF of the final report to https://devilry.ifi.uio.no/.
We have been given a project on EduCloud for students of this course. To get access, please go to https://research.educloud.no/register and apply for access to project ec395.
We are very excited to start this semester with you all, and dive into the world of Deep Learning together.
The first lecture is this Tuesday, August 20th at 12:15 in seminar room Python, followed by the first lab session on Friday, the 23rd at 10:15 in seminar room logo. We hope to see you all there!
We take an active learning approach to teaching in our lectures and encourage and expect you to participate in discussions to promote active learning. The synergy between theoretical knowledge gained in the discussions and hands-on application in labs is of utmost importance in comprehending the nuances of the latest ideas and algorithms.
Attending classes and actively participating will not only enhance your understanding but also provide you with valuable skills that are crucial for your academic and professional growth. Our goal is to equip you with a holistic education that goes beyond theory, enabling you to confidently navigate rea...