News
Assignment 5 releasedWritten on 20.11.25 by Sidharth Nair Hi everyone, Assignment 5 has been released. The deadline for this assignment will be 11:59 PM on November 27, 2025. Cheers, Sidharth |
Important: Rules for Excused Tutorial AbsencesWritten on 14.11.25 by Obaid Ur Rehman Dear Students, You may skip your tutorial presentation only for legitimate reasons. Examples of such reasons include being genuinely sick or having an official appointment with the Ausländerbehörde (ABH) that directly clashes with your tutorial time. Please note that personal commitments or… Read more Dear Students, You may skip your tutorial presentation only for legitimate reasons. Examples of such reasons include being genuinely sick or having an official appointment with the Ausländerbehörde (ABH) that directly clashes with your tutorial time. Please note that personal commitments or a doctor’s appointment during the tutorial do not count as valid excuses. If you are sick and unable to attend, you must send your tutor the official German sick note, the Arbeitsunfähigkeitsbescheinigung (certificate of unfitness for work), and cc Prof. Klakow. Simply writing an email saying you are sick is not enough, the certificate must be attached, and it should be sent promptly. Please remember that tutors are not responsible for following up on absences. It is your responsibility to provide the required documentation to avoid penalties for missing your presentation. Best, |
Assignment 4Written on 13.11.25 by Hong-Viet Tran Hi everyone, Assignment 4 has been released. The deadline for this assignment is 11:59 PM on November 20, 2025. Cheers, Hong-Viet |
Assignment 3Written on 06.11.25 (last change on 06.11.25) by Obaid Ur Rehman Hi everyone, Assignment 3 has been released. Please note that the deadline for this assignment is 11:59 PM on November 13, 2025. Should you have any questions, please don’t hesitate to ask on the forum.
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Assignment 2 - Added docker InstructionsWritten on 03.11.25 by Adam Ashkar Masarwa Dear students, We have updated Task 4: Familiarization with the cluster environment of Assignment 2 in response to questions raised on the forum and an error in the previously specified university Docker registry address. Docker should now be run locally to create an image, which is then pushed to… Read more Dear students, We have updated Task 4: Familiarization with the cluster environment of Assignment 2 in response to questions raised on the forum and an error in the previously specified university Docker registry address. Docker should now be run locally to create an image, which is then pushed to a personal Docker Hub account created online and subsequently referenced in your submit file on the server. Please see the updated assignment sheet for the revised instructions. |
Tutorial Slots Assigned; Tutorials Start this WeekWritten on 03.11.25 by Muhammad Umar Javed Hello everyone! You can now see your assigned tutorial slot by going to Personal Status > Tutorials. Please note that tutorials begin this week. As mentioned in the lecture, failing to present your solution when requested will result in losing all points on the assignment and, the next… Read more Hello everyone! You can now see your assigned tutorial slot by going to Personal Status > Tutorials. Please note that tutorials begin this week. As mentioned in the lecture, failing to present your solution when requested will result in losing all points on the assignment and, the next time, losing exam eligibility. Feel free to reach out on the Forum if you have any questions! Best, |
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