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ml2

Covid closure

We have a facebook group for comunication: https://www.facebook.com/groups/544273583166584/

Things you should get familiar with:

Machine translation

Speech recognition (mainly CTC and Transducers)

Self-attention and transformers

Bayessian modeling

Genarative adversarial networks (GANs)

https://www.alexirpan.com/2017/02/22/wasserstein-gan.html, https://lilianweng.github.io/lil-log/2017/08/20/from-GAN-to-WGAN.html

Reinforcement learning and policy gradients

Adversarial training

Schedule

Contact

<surname>@fmph.uniba.sk

Grading

Three projects:

Getting less than 50% from autograd project -> FX. Otherwise typical grading scheme (more than 90% - A, 89% - 80% - B, …, 59 % - 50% - E, less than 50% - FX).

Good other courses

Schedule

Similar to old. We will skip things over graphs (except semisupervised learning). We will probably add more about model compression and deployment (quantization).

Calculus for deep learning: https://explained.ai/matrix-calculus/

18. 2

20. 2

25. 2

27. 2

3. 3

5. 3

Old schedule

20.2.

21.2.

27.2

28.2

6.3

7.3

13.3

14.3

20.3

21.3

27.3

28.3

4.4

10.4

11.4

17.4

18.4 and 24.4

2.5

9.5

15.5, 16.5