News
Teams Channel for Finding a TeamWritten on 24.10.25 (last change on 24.10.25) by Muhammad Umar Javed We have created a temporary MS Teams channel for finding teammates until the forum is enabled. Link: Team Finding | [MI] NNTI Winter 2025 2026 | Microsoft Teams Alternatively, you can use a code to join the above team without requesting permission : tyn4ryx Best, |
Tutorial slots releasedWritten on 23.10.25 (last change on 23.10.25) by Sidharth Nair Hi everyone! You can now select your tutorial slot preferences under the Personal Status tab. You have until 02.11.2025, 23:59 CEST to enter your preferences. Tutorials will take place weekly, starting from 03.11.25. As discussed in the lecture, attending tutorials is mandatory, as you may be… Read more Hi everyone! You can now select your tutorial slot preferences under the Personal Status tab. You have until 02.11.2025, 23:59 CEST to enter your preferences. Tutorials will take place weekly, starting from 03.11.25. As discussed in the lecture, attending tutorials is mandatory, as you may be asked to present your solution at any time. For any questions, feel free to reach out to us. Best, |
Assignment 01 ReleasedWritten on 23.10.25 by Muhammad Umar Javed Hello everyone! Assignment 01 has been released. The assignment is due on 30.10.2025 at 23:59 CEST. Future assignments will be released on Thursdays, and you will have one week to complete them. The first assignment can be submitted alone if you have not had time to find a group. After this,… Read more Hello everyone! Assignment 01 has been released. The assignment is due on 30.10.2025 at 23:59 CEST. Future assignments will be released on Thursdays, and you will have one week to complete them. The first assignment can be submitted alone if you have not had time to find a group. After this, you are expected to work in a group of up to 3 students. The forum will soon be enabled for you to find a team. You can also look for team members in the first tutorial. Note that team members are not required to participate in the same tutorial. For any clarification, please reach out to us on the Forum. Best, |
Neural Networks: Theory and Implementation
This is is the version for CS, DSAI, VC, Bioinformatics, Systems Engineering, wirtschaftsinformatik, etc. No CoLi students permitted in this edition.
Starts: 21.10.25
Location: large lecture hall mathematics, HS1 in E25
Exam: 10.2.26 (location will follow a few days before the exam)
Tutorials: tbd
Outline:
- Linear Algebra and Principal Component Analysis (PCA)
- Numerical Computation
- Machine Learning Basics
- Deep Feedforwad Neural Networks
- Regularization for Deep Learning
- Optimization for Deep Learning
- Convolutional Neural Networks
- Sequence Modelling: Recurrent and Recursive Neural Networks
- Transformers
- GNNs
Text Books:
Neural Networks and Deep Learning by Charu C. Aggarwal
Deep Learning by Aaron Courville, Ian Goodfellow, Joshua Bengio
Geometry of Deep Learning, Jong Chul Ye
Deep Learning Architectures: A Mathematical Approach, Ovidiu Calin