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, 21.10.25

Location: large lecture hall mathematics, HS1 in E25

Exam: 10.2.26 (LOCATION: E25 HS I, same location as lecture)

Tutorials:

Mondays 14:15-15:45, Building E1.3 Room 013 (Cora)

Wednesdays 14:15-15:45 Building E1.3 Room 013 (Diana)

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
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