Neural Networks: Theory and Implementation (NNTI, Winter 2023/2024)

This is is the version for CS, systems engineering, wirtschaftsinformatik, etc. No CoLi students permitted in this edition. The corresponding LSF entry .

Starts: Tuesday, October 31st at 14:15

Location: large lecture hall mathematics, HS1 in E25

Exam: Tuesday, February 13th, 14:00-16:00 (location will follow a few days before the exam)

Registration for participation: please register here

Registration for the exam has to be done separately. Please check LSF and the corresponding deadline.


There will be four tutorials groups. Details to follow.


  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

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