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Hi all!

Hope your projects are wrapping up nicely! We have received some questions regarding the structure of the final report.

• The report must be delivered in Inspera by Friday 29th of November, 23:59. We know that there is an assignment in devilry called final report, but you can ignore this. Also note that we are not able to accept any report sent by e-mail or any other method than Inspera. This is due to the rules for exams set by the administration.
• Each of you have to deliver the report as a single PDF. You will not be able to deliver together as a group. However, you can collaborate in writing the report.
• As mentioned in the project description the report should have a collective part ...

Hi everyone!

We are approaching the end of the project period and have seen many updates from all groups this week. Since no one has contacted us asking to attend the lab for feedback this week, we will cancel the lab session tomorrow, 15. November. If you have questions, are stuck, or need feedback you can send us an e-mail, ask on discourse, or find us in the DSB offices on the 4th floor.

PS: Given your project updates on your repos, everyone gets a pass for this week's submissible.

On another note, we have received your posters and sent them for printing. We're looking forward to hearing your presentations next week!

Best of luck,

The teaching team 

We are looking for a master student who is willing to be a group teacher for IN4310 ¨C Deep Learning for Image Analysis for the first semester of 2025. 

If you are interested, you can send an email to ali@uio.no.

We hope that your projects are progressing well! The upcoming poster presentations/oral exams are on the 19th of November, and we encourage you to send us the poster for your group so we can print it for you.

You can deliver your finished posters to us by filling out this form: https://nettskjema.no/a/467165. You have to send it by Thursday 14th of November at 11:00, because the university's printing service requires us to send the job three working days before.

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 18. October, 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,

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...