Neural Networks: Implementation and Application (CoLI/LST students only!!!!)

Hi everyone, 

For Question 1.1 and calculating derivatives, please be sure to show your work (i.e. show all the steps if the calculation takes more than one step). 

For Question 3 and Bonus 1, please set a random seed to 42 with torch.manual_seed(42) to keep the results reproducible (and also easier for me to grade)

Cheers,

Diana

Hi everyone,

As announced during the tutorials, we will have Quiz 2 next week on 24.11 (M) and 26.11 (W) at 14:15. As previously posted, please remember to bring a pen and come on time. 

The topics that we expect you to know for the quiz include the following: bias/variance trade-off; over/under-fitting and its relation to capacity and error; cross-validation and the purpose of train/test/validation sets; components of feed forward networks and equations to describe the input/hidden/output layers; ReLU function and using it in a feed forward network, precision/recall/accuracy. Chapter 4 and Chapter 5 (up to slide 19) of the lecture slides, along with Chapters 5 and 6 of the Goodfellow book, homework assignment 4, and the tutorial slides may be useful study material for the quiz. 

- Your Tutors (Diana and Cora)

Hello everyone!

Assignment 3 has just been posted and will be due on 13.11.25 at 23:59 CEST. Don't forget to turn in Assignment 2, which is due tonight.

The first quiz will be taking place during the tutorial sessions on Monday 10.11.25 and Wednesday 12.11.25. Please be sure to come on time, since the quiz will be administered at 14:15 (and bring a pen with you!). Potential material that could be on the quiz include the following: Applications of Neural Networks; Linear Algebra Basics (e.g. types of matrices, matrix multiplication); finding eigenvectors and/or eigenvalues of a matrix; PCA theory, and any chapters from the Goodfellow Book or the Aggarwal book that cover these topics. Previous assignments and work done during the Tutorials might be useful review as well :) Slides from this week's tutorial have been posted under Materials in the Tutorial Slides section. Also don't stress too much about the quiz please! 

- Your Tutors

Hi everyone,

Assignment 2 has been uploaded under Materials and will be due on 06.11.25. It contains 5 exercises total! Assignment 1 is due tonight, so please don't forget to turn it in :)

Also, tutorials start next week on November 3rd / 5th! We have assigned everyone who listed preferences for tutorials. Please don't attend the other tutorial unless you have a scheduling conflict. If you did not submit your preferences, we will assume you are either 1) no longer attending the course or 2) have scheduling conflicts with both tutorial sessions. If you have scheduling conflicts with both tutorial sessions, please reach out to us, as we need to make accommodations for administering the quizzes. If you're still wanting to take the course and didn't submit preferences, please reach out to us as well and we can assign you to a tutorial. 

Please don't hesitate to contact us if you have any other questions.

- Your Tutors (Diana and Cora)

Hi everyone!

Assignment 1 has been posted in the Materials section. Assignment 1 is due on 30.10.25 at 23:59 CEST. All assignments from now on will be released on Thursdays and you will have one week to complete them. Please complete the assignments in pairs. Only one person per group has to submit the assignment for both people to get points. 

Tutorial slots have also been released. These can be found under the Registration tab. We will have two tutorial sessions:

Mondays 14:15-15:45, Building E1.3 Room 013 (Cora)

Wednesdays 14:15-15:45 Building E1.3 Room 013 (Diana)

Tutorials will start the week of 03.11.25. Please only attend your assigned tutorial because of limited space. Tutorials will mainly be for reviewing the solutions of the previous week's assignment sheet and addressing any concerns with the lecture material. We will also be having biweekly (twice a month) quizzes to ensure understanding of the theory from the past two weeks. You need to get at least 70% of the points on the quizzes as well as on the assignments to be able to qualify for the exam. 

For assignments, your team member doesn't have to be in the same tutorial as you. 

- Your NNIA Tutors (Cora and Diana)

 

Hello everyone! 

Welcome to NNIA :) The Chapter 1 lecture slides have been posted under Information > Materials > Lecture Slides. I have also enabled the Forum (tab on the top of the screen) so that you all can find partners to work on the assignments together. Assignments will also be posted on CMS in due time. Tutorials will start in early November, specific date TBD.