Neural Networks: Theory and Implementation

Dietrich Klakow

News

Assignment 5

Written on 19.11.24 by Nguyen Duc Anh Pham

Hi everyone,

Assignment 5 has been released. Please note that the deadline for Assignment 5 is 11:59 PM on November 27, 2024.

Best,
Nguyen Duc Anh Pham

Tutorial #5 Online session

Written on 15.11.24 by Monseej Purkayastha

Hi Everyone,

Just a heads-up, just like last week, we'll be holding today's Tutorial starting at 14:15 online via Microsoft Teams. If you plan to attend, please join this team's… Read more

Hi Everyone,

Just a heads-up, just like last week, we'll be holding today's Tutorial starting at 14:15 online via Microsoft Teams. If you plan to attend, please join this team's link:

https://teams.microsoft.com/l/meetup-join/19%3ameeting_MzY2ZThhNDYtYTMyMi00M2M5LWI4YjgtN2E1ZWRiYjliODM4%40thread.v2/0?context=%7b%22Tid%22%3a%2267610027-1ac3-49b6-8641-ccd83ce1b01f%22%2c%22Oid%22%3a%22c41ecae6-cb71-45d7-9ce8-3e33e8ed91f8%22%7d

 

Note: This will be the last online session we'll have (hopefully), from next week onwards, it will be in-person at  SR 016, E1 3.

 

Thanks and Regards,

Monseej Purkayastha

Old exam

Written on 13.11.24 by Dietrich Klakow

Hi,

yesterday I was asked for an old exam. Here is one: https://cms.sic.saarland/nnti_2425/dl/10/Old_Exam.pdf (also in the materials section).

Please note that it has very limited predicitve power about this years exam. The team is different and the assignments are different and this will… Read more

Hi,

yesterday I was asked for an old exam. Here is one: https://cms.sic.saarland/nnti_2425/dl/10/Old_Exam.pdf (also in the materials section).

Please note that it has very limited predicitve power about this years exam. The team is different and the assignments are different and this will certainly have an impact on this years exam.

Best,

Dietrich Klakow

 

Assignment 4

Written on 12.11.24 (last change on 12.11.24) by Nhi Pham

Hello everyone,

Assignment 4 has been released. Deadline for this assignment is November 20, 2024 at 23:59.

Best,

Nhi

Tutorial #5 Online session

Written on 08.11.24 by Monseej Purkayastha

Hi Everyone,

For all those who opted for the Friday afternoon Tutorial slot starting at 14:15, please join this team's… Read more

Hi Everyone,

For all those who opted for the Friday afternoon Tutorial slot starting at 14:15, please join this team's link:

https://teams.microsoft.com/l/meetup-join/19%3ameeting_MzY2ZThhNDYtYTMyMi00M2M5LWI4YjgtN2E1ZWRiYjliODM4%40thread.v2/0?context=%7b%22Tid%22%3a%2267610027-1ac3-49b6-8641-ccd83ce1b01f%22%2c%22Oid%22%3a%22c41ecae6-cb71-45d7-9ce8-3e33e8ed91f8%22%7d

 

Thanks and Regards,

Monseej Purkayastha

Tutorial 6: Wednesday 10:15

Written on 08.11.24 by Dietrich Klakow

Tutorial group 6 has been set up. It will be Wednesdays 10:15 in SR 016, E1 3 starting next week. Please reach out to the tutors or me if you want to join that tutorial.

Best,

Dietrich Klakow

 

Written on 06.11.24 by Monseej Purkayastha

Hi everyone,

Assignment 3 has been released. Please note that you have a timeline of 1 week to complete it, i.e. the deadline is on 13th November.

Best,

Your NNTI tutors

6th Tutorial Group: please doodle asap

Written on 05.11.24 (last change on 05.11.24) by Dietrich Klakow

Hi,

as announced today in the lecture we will have a 6th tutorial group in particular for those who have not yet been assigned to a tutorial yet. Here is a doodle with three alternatives:

https://doodle.com/meeting/participate/id/bqDzOp2a

Please doodle as soon as possible, latest by Thursday… Read more

Hi,

as announced today in the lecture we will have a 6th tutorial group in particular for those who have not yet been assigned to a tutorial yet. Here is a doodle with three alternatives:

https://doodle.com/meeting/participate/id/bqDzOp2a

Please doodle as soon as possible, latest by Thursday lunchtime (11:59 am).

Best regards,

Dietrich Klakow

On the additional materials for the course

Written on 05.11.24 by Nhi Pham

Hi everyone,

By popular demand (and maybe a little peer pressure), here’s a lineup of recommended books to supercharge your course experience:

  1. Deep Learning, Ian Goodfellow and Yoshua Bengio and Aaron Courville (also available online: https://www.deeplearningbook.org/)

  2. Pattern… Read more

Hi everyone,

By popular demand (and maybe a little peer pressure), here’s a lineup of recommended books to supercharge your course experience:

  1. Deep Learning, Ian Goodfellow and Yoshua Bengio and Aaron Courville (also available online: https://www.deeplearningbook.org/)

  2. Pattern Recognition and Machine Learning, Christopher Bishop

Both of these books are available in the library. Happy studying – or at least happy book-collecting!

Cheers,

Nhi

On eligibility and bonus points (and Assignment 2)

Written on 31.10.24 by Filippo Garosi

Dear students,

for those of you that missed last lecture,

  • 60% of the points grants you the exam admission
  • participating fruitfully in a tutorial, for example by presenting your solution to an exercise, grants you bonus points towards the exam admission.

Moreover, Assignment 2 has been… Read more

Dear students,

for those of you that missed last lecture,

  • 60% of the points grants you the exam admission
  • participating fruitfully in a tutorial, for example by presenting your solution to an exercise, grants you bonus points towards the exam admission.

Moreover, Assignment 2 has been released a couple of days ago, at the end of the lecture. The due date is 06/11/24 at 23:59.
From now on, the assignments will always be released at the end of the lecture and be due on Wednesday of the following week. 

Good luck!

Assignment 1 released

Written on 23.10.24 by Kunwar Maheep Singh

Assignment 1 has been released. The release was delayed by one day because of the CMS system being down. In this special case, the deadline is extended by one day and this assignment will be due on 30th October 23:59. After this, all assignments will follow the regular schedule of being released at… Read more

Assignment 1 has been released. The release was delayed by one day because of the CMS system being down. In this special case, the deadline is extended by one day and this assignment will be due on 30th October 23:59. After this, all assignments will follow the regular schedule of being released at lecture time and being due before the lecture.
Best of luck
Show all

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: 22.10.24

Location: large lecture hall mathematics, HS1 in E25

Exam: 11.2.25 (location will follow a few days before the exam)

Tutorials: tbd

Outline:

  1. Linear Algebra and Principal Component Analysis (PCA)
  2. Numerical Computation
  3. Machine Learning Basics
  4. Deep Feedforwad Neural Networks
  5. Regularization for Deep Learning
  6. Optimization for Deep Learning
  7. Convolutional Neural Networks
  8. Sequence Modelling: Recurrent and Recursive Neural Networks
  9. Transformers
  10. 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

 

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