Neural Networks: Implementation and Application Dietrich Klakow

News

30.09.2020

Reexam

Dear students,

The re-exam will be on October 1st,  10-12 in Günter-Hotz Lecture Hall.

Bests,

NNIA team

12.02.2020

Exam grades online + inspection

Dear Students,

 

The grades for the NNIA exam are online. The exam inspection is on Friday, February 14th from 12:30 - 13:00 in the CoLi seminar room (building C7.3).

 

Best,

NNIA team

 

07.02.2020

Final Exam Venue

Dear students,

 

The exam will be held in E 2.5 HS I. Each student has a fixed seat. We have uploaded the seating plan to Materials -> Exam. Please check the seating plan beforehand to know which seat you have. The seating plan is specified by the... Read more

Dear students,

 

The exam will be held in E 2.5 HS I. Each student has a fixed seat. We have uploaded the seating plan to Materials -> Exam. Please check the seating plan beforehand to know which seat you have. The seating plan is specified by the matriculation number. You have to sit at the seat that is assigned to you.

 

The NNIA team wishes you all the best for the exam!

28.01.2020

Regarding exam registration

Dear students,

The eligibility for the exam has been changed to 60% of the maximum points from the first 10 assignments and tutorials, that is 72 points. You should be able to see your total assignments points and attendance points by the end of this week. The... Read more

Dear students,

The eligibility for the exam has been changed to 60% of the maximum points from the first 10 assignments and tutorials, that is 72 points. You should be able to see your total assignments points and attendance points by the end of this week. The progress bar is now activated in CMS.

If you wish to take the exam and you are fairly sure of getting enough points, please do register for the exam before the deadline even if grading is not completed by then. In case you register and do not have sufficient points, we would be able to de-register you next week, and it will not be counted as an exam attempt.

All the best!
NNIA Team

16.01.2020

assignment 10

Dear Students,

Please be aware that a new version of assignment 10 where some bugs have been fixed is just uploaded.

 

Bests,

NNIA team

 

11.11.2019

Last question of assignment 2

Dear Students,

As the PCA has not been covered in the lecture yet, you can submit the solution to Exercise 2.4 with next week's assignment 3.

Bests,

NNIA team

31.10.2019

Logistical information

Dear Students,

Here are some updates:

1 - Assignment 1 is already released. The deadline for submission is 05.11.2019, 23:59.

2 - The group size of submission teams should be 2 or 3.

3 - The tutorials will begin on 07.11.2019.

4 - Overall Grade = 100%... Read more

Dear Students,

Here are some updates:

1 - Assignment 1 is already released. The deadline for submission is 05.11.2019, 23:59.

2 - The group size of submission teams should be 2 or 3.

3 - The tutorials will begin on 07.11.2019.

4 - Overall Grade = 100% Exam.

 

Bests,

NNIA team

24.10.2019

Pytorch tutorial

Dear Students,

Next session - 29.10.2019 - is devoted to a lecture on Pytorch. Please bring your laptops with you for a more hands-on experience. In order to run the lecture's notebook you have two options:

1 - Install Pytorch on your local machine.

2 -... Read more

Dear Students,

Next session - 29.10.2019 - is devoted to a lecture on Pytorch. Please bring your laptops with you for a more hands-on experience. In order to run the lecture's notebook you have two options:

1 - Install Pytorch on your local machine.

2 - Simply use Google Colab. Then you need only a google account.

 

Bests,

NNIA team

23.10.2019

Non Computerlinguistik students

Dear Students,

As mentioned in the course description this version of lecture is designed solely for students in Computerlinguistik. So if you are not Computerlinguistik student you are in the wrong place. If this is the case please cancel your registration from... Read more

Dear Students,

As mentioned in the course description this version of lecture is designed solely for students in Computerlinguistik. So if you are not Computerlinguistik student you are in the wrong place. If this is the case please cancel your registration from this version and register to "theory and implementation" edition by Friday.

Bests,

NNIA team

Show all
 

Neural Networks: Implementation and Application

Audience

This lecture addresses Bachelor and Master students in Computational Linguistics. No other students are permitted. The corresponding LSF entry can be found here.

The course version for Computer Science, Visual Computing, Wirtschaftsinformatik, Systems Engineering, etc. can be found here.


Contents

We plan to cover the following topics:

  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

Organisation

Lectures take place in HS II in building E1 3.

Time: Tuesday, 14:15-15:45 

Starts: October 22th 2019

The final exam will take place on February 10th, from 7:45-9:45.




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