News

Cover sheet available

Written on 12.02.24 by Dietrich Klakow

Hi, you can find the cover sheet of the exam here: NNIA cover sheet

Best,

Dietrich Klakow

Written on 12.02.24 by Dietrich Klakow

Hi,

 

the NNIA (CoLi/LST/LCT) exam tomorrow will be in the large lecture hall in physics building C63/C64. You enter the physics tower and then go along the long corridor quite far nearly to the end of the corridor.

 

In the building… Read more

Hi,

 

the NNIA (CoLi/LST/LCT) exam tomorrow will be in the large lecture hall in physics building C63/C64. You enter the physics tower and then go along the long corridor quite far nearly to the end of the corridor.

 

In the building map:

https://www.uni-saarland.de/fileadmin/upload/footer/grundriss/SBC-22_03-000.pdf

it is room 0.10 .

 

We start the exam at 14:00 sharp, so make sure that you arrive at 13:45 at the lecture hall.

 

Best regards,

 

Dietrich Klakow

Tutorial Tomorrow at 10:15

Written on 05.02.24 by Nicholas Jennings

Hello everyone,

there will be another tutorial tomorrow at 10:15. We currently do not have an available room for this time slot so it will be online. Please join using this link.

Kind regards,

NNIA Team

Additional Tutorial/ Office hour next week

Written on 03.02.24 by Nicholas Jennings

Hello everyone,

Besides the tutorial on Wednesday at 14:15, there will be another one next week. This tutorial will be run by Julius, who has been running the tutorial on Friday. If you are interested, please vote on the time slot here by Monday. 

Kind regards,

NNIA Team

Previous Exam

Written on 02.02.24 by Nicholas Jennings

Hello Everyone,

we have just released the exam from last year for you in the materials section on CMS. Do keep in mind, however, that it is not necessarily representative of what the exam will be like this year.

Kind regards and good luck,

NNIA team

Tutorial Today

Written on 24.01.24 by Nicholas Jennings

Hello everyone,

since there is no assignment to discuss, there won’t be a normal tutorial today. However, I will still be in the same room as always from 14:15 to 15:45 to answer questions related to the current assignment.

Kind regards,

Nicholas

Tutorial today at 14:15

Written on 17.01.24 by Nicholas Jennings

Hello everyone,

due to the current weather conditions, today's tutorial will be on teams. Please join via this link.

Best,

Nicholas

tomorrows tutorial

Written on 16.01.24 by Dietrich Klakow

Hi,

 

given tomorrows weather forecast let's plan tomorrows tutorial to be online.

 

In case it is not as bad as predicted we might switch to hybrid. In that case there will be a separate announcement around lunch time.

 

Best regards,

 

Dietrich Klakow

Assignment 9 Announcements

Written on 12.01.24 by Nicholas Jennings

Hello everyone,

assignment 9 has been released. Unlike previous assignments, you will have two weeks to complete it and will be required to run your code on the sic-cluster for one of the exercises. We have distributed credentials to each of you and you should be able to find them on your… Read more

Hello everyone,

assignment 9 has been released. Unlike previous assignments, you will have two weeks to complete it and will be required to run your code on the sic-cluster for one of the exercises. We have distributed credentials to each of you and you should be able to find them on your Personal Status page. If you cannot find your credentials on your personal status page, please notify us as soon as possible.  We also recommend that you start sooner rather than later so problems related to the cluster can be identified early on.

Working with clusters for the first time can be tedious, but this is a good opportunity to practice as you may need to work with clusters for your thesis or later in your career. (Even if you already have enough points to qualify for the exam.)

Kind regards,

NNIA Team

Tomorrow

Written on 01.01.24 by Dietrich Klakow

Hi,

Happy New Year! I hope that many of you can make it in person to the lecture tomorrow. If not (as announced below) there is also the option to participate… Read more

Hi,

Happy New Year! I hope that many of you can make it in person to the lecture tomorrow. If not (as announced below) there is also the option to participate online:

https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZjQ2ZTljYWMtZWM3Mi00NzIwLWEwYTMtZDRlYmMzYTBkN2Qx%40thread.v2/0?context=%7b%22Tid%22%3a%2267610027-1ac3-49b6-8641-ccd83ce1b01f%22%2c%22Oid%22%3a%22649aab9b-646c-4d62-a3a8-f56d5fe6561f%22%7d

Sound will be run via my laptop, so no guarantees about the quality.

See you

Dietrich Klakow

Assignment 7 Ex. 1 Additional Information

Written on 01.01.24 by Nicholas Jennings

Hello everyone,

there is a mistake in the Intro to Computational Graphs in Deep Learning article linked in the assignment. 

Towards the end of the article d Y/d b is missing d Y/d e * d e/d b. So the full equation should be:
d Y/d b = d Y/d d * d d/d b + d Y/d e * d e/d b

Feel free to check… Read more

Hello everyone,

there is a mistake in the Intro to Computational Graphs in Deep Learning article linked in the assignment. 

Towards the end of the article d Y/d b is missing d Y/d e * d e/d b. So the full equation should be:
d Y/d b = d Y/d d * d d/d b + d Y/d e * d e/d b

Feel free to check out this article on computational graphs as well. (credit to this post in the forum for finding it)

Kind regards,

NNIA team

Assignment 7 update and deadline extension

Written on 21.12.23 by Nicholas Jennings

Hello everyone,

A serious mistake has been discovered in the first version of assignment 7 (see this post in the forum). To resolve this, assignment 7 has been updated and the deadline has been extended until 05.01.2024 at 8 AM. In the updated version you will now receive 2 points + 2 bonus points… Read more

Hello everyone,

A serious mistake has been discovered in the first version of assignment 7 (see this post in the forum). To resolve this, assignment 7 has been updated and the deadline has been extended until 05.01.2024 at 8 AM. In the updated version you will now receive 2 points + 2 bonus points in Q 2.3.1. 

We wholeheartedly apologize for this serious mistake.

Kind regards,

NNIA tutors

Mistake in Assignment 6

Written on 13.12.23 by Nicholas Jennings

Hello everyone,

unfortunately, there was a mistake in assignment 6. In the previous version of exercise 2.1 you were asked to report training accuracies after each epoch, but report test accuracies for 2.2. The intention was for you to report test accuracies for 2.1 and 2.2.

We apologize for the… Read more

Hello everyone,

unfortunately, there was a mistake in assignment 6. In the previous version of exercise 2.1 you were asked to report training accuracies after each epoch, but report test accuracies for 2.2. The intention was for you to report test accuracies for 2.1 and 2.2.

We apologize for the confusion and inconvenience this close to the deadline.

Kind regard,

NNIA Tutors

Tutorial teams meeting

Written on 29.11.23 by Nicholas Jennings

please join here

https://teams.microsoft.com/l/meetup-join/19%3ameeting_MjdjMjk4NTctNTgzNC00NjU5LWE3YzItNzU3MTI2NDU1NTc0%40thread.v2/0?context=%7b%22Tid%22%3a%2267610027-1ac3-49b6-8641-ccd83ce1b01f%22%2c%22Oid%22%3a%22b1478556-40fd-4ed5-b7d4-caeb253c60b4%22%7d

 

Tutorial Reassignment

Written on 21.11.23 by Nicholas Jennings

Hello everyone,

you have now been reassigned to the tutorials based on your preferences. However, if you were still assigned to a tutorial that you are unable to attend, we will try to find a solution. 

Kind regards,

NNIA tutors

Correction of Tutorial 2 Location

Written on 17.11.23 by Sijie Wu

Hi everyone,

 

sorry for the shorter notice. 

There has been some miscommunications, and the tutorial is in E1.1 Room -1.12 , aka U 12 in the basement floor.

 

Kind regards,

Sijie Wu

Location of Tutorial 2

Written on 16.11.23 (last change on 17.11.23) by Sijie Wu

Hi everyone in Tutorial 2,

 

I apologize for the short notice. The first tutorial will be tomorrow at 10:15 in E1.1 Room -1.12. I am looking forward to seeing you there.

 

 

PS. There has been some miscommunications, and the tutorial is in E1.1 Room -1.12 , aka U 12 in the basement… Read more

Hi everyone in Tutorial 2,

 

I apologize for the short notice. The first tutorial will be tomorrow at 10:15 in E1.1 Room -1.12. I am looking forward to seeing you there.

 

 

PS. There has been some miscommunications, and the tutorial is in E1.1 Room -1.12 , aka U 12 in the basement floor.

 

Kind regards,

Sijie Wu

Written on 15.11.23 by Dietrich Klakow

Hi, we just had discussed the Christmas break in the tutor meeting.

There will be no lecture on December 19th (due to an RTG retreat DK has to attend) and we will not issue a new assignment in that week. Tutorials will happen as planned.

In the week stating January 2nd, there will be a lecture… Read more

Hi, we just had discussed the Christmas break in the tutor meeting.

There will be no lecture on December 19th (due to an RTG retreat DK has to attend) and we will not issue a new assignment in that week. Tutorials will happen as planned.

In the week stating January 2nd, there will be a lecture which will be offered hybrid. Sound will be via laptop so now guarantees for the audio quality. There will be no tutorials in the first week of January.

Tutorial Preferences

Written on 13.11.23 by Nicholas Jennings

Hello Everyone,

it should be possible for everyone to select and change tutorial preferences on CMS now. You can change your preferences until Thursday, 16.11.2023 23:59.  However, this week you may go to whichever tutorial you want, regardless of which tutorial you are assigned to.

Kind… Read more

Hello Everyone,

it should be possible for everyone to select and change tutorial preferences on CMS now. You can change your preferences until Thursday, 16.11.2023 23:59.  However, this week you may go to whichever tutorial you want, regardless of which tutorial you are assigned to.

Kind regards,

Nicholas Jennings

Written on 08.11.23 by Dietrich Klakow

Hi,

Here are the tutorial slots:

Wednesday, 14:15 SR016, E13 (Nicholas)

Friday, 10:15 location tbd, (Sijie)

 

Tutorials will start next week. Go to the tutorial you like.

Independently, we plan to send out a questionnaire to fix the tutorial assignment for the following weeks.

Exam Eligibility from Previous Semesters

Written on 07.11.23 by Nicholas Jennings

Hello everyone,

to answer a common question, you will keep eligibility for the NNIA exam if you have obtained it in a previous semester. However, the contents of the assignments from this semester are relevant for the exam, so it is still recommended that you look at them.

Kind regards,

NNIA Tutors

Assignments & Teams

Written on 05.11.23 (last change on 05.11.23) by Nicholas Jennings

Hello Everyone and welcome to the NNIA lecture!

We have released the first assignment earlier this week. However, some of the submission instructions on the first version of Assignment 1 are incorrect.  You may submit in teams of 2-3 and your solution should be uploaded to CMS, not teams. We… Read more

Hello Everyone and welcome to the NNIA lecture!

We have released the first assignment earlier this week. However, some of the submission instructions on the first version of Assignment 1 are incorrect.  You may submit in teams of 2-3 and your solution should be uploaded to CMS, not teams. We apologize for the confusion.

Kind regards,

NNIA tutors

Show all

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

This is the version for CoLis (bachelor and master) only. No other students permitted.

Starts: Tuesday, October 31st, 14:15

Location: large lecture hall mathematics, HS1 in E25

Exam: Tuesday, February 13th 14:00-16:00

Tutorials:

There will be two tutorials groups. Details to follow here on CMS.

Outline:

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

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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