Here is a brief diary of topics discussed in classes (see also the class calendar for the DL course in 24/25 here).

Slides and coding scripts are distributed after each lecture via the Google groups mailing-list. Refer to the home page on how to subscribe.

[23.09.2025] Introduction to the course

[25.09.2025] Data management as input for our machine/deep learning approaches

[30.09.2025] Recap from Machine Learning: linear classifiers and backpropagation

[2.10.2025] Backpropagation exercises

[7.10.2025] Introductions to CNNs

[9.10.2025] In class exercises

[14.10.2025] CNN Architectures

[16.10.2025] CNN Architectures

[23.10.2025] CNN Architectures exercises

[28.10.2025] Training NNs

[6.11.2025] Training NNs

[11.11.2025] Training NNs

[13.11.2025] Sequence modelling and Temporal Convolutional Networks

[18.11.2025] RNNs

[20.11.2025] LSTMs and Transformers

[25.11.2025] Coding session on RNNs and LSTMs

[27.11.2025] Transformers, incl coding review

[2.12.2025] Generative models

[4.12.2025] Revision on Transformer Networks and BERT, and preview of sample exam questions