Topic outline

  • Course schedule

    Lectures Exercise sessions
    		 Assignment deadlines Solution sessions
    Week 1
    02.03 Tue 14:15 1. Introduction
    04.03 Thu 14:15 2. Optimization
    05.03 Fri 10:15-11:45, 12:15-13:45
    		 Exercises for assignment 02_mlp
    05.03 Fri 23:00 01_test
     
    Week 2
    08.03 Mon 10:15-11:45, 12:15-13:45
    		 Exercises for assignment 02_mlp
    09.03 Tue 14:15 3. Convolutional neural networks
    10.03 Wed 23:00 02_mlp
    12.03 Fri 10:15-11:45, 12:15-13:45 Exercises for assignment 03_cnn
     
    Week 3
    15.03 Mon 10:15-11:45, 12:15-13:45 Exercises for assignment 03_cnn
    16.03 Tue 10:15 02_mlp
    16.03 Tue 14:15 4. Regularization
    17.03 Wed 23:00 03_cnn
    19.03 Fri 10:15-11:45, 12:15-13:45
    		 Exercises for assignment 04_reg
     
    Week 4
    22.03 Mon 10:15-11:45, 12:15-13:45 Exercises for assignment 04_reg
    23.03 Tue 10:15 03_cnn
    23.03 Tue 14:15 5. Recurrent neural networks
    24.03 Wed 23:00 04_reg
    26.03 Fri 10:15-11:45, 12:15-13:45
    		 Exercises for assignment 05_rnn
     
    Week 5
    29.03 Mon 10:15-11:45, 12:15-13:45 Exercises for assignment 05_rnn
    30.03 Tue 10:15 04_reg
    30.03 Tue 14:15 6. Attention-based models
    31.03 Wed 23:00 05_rnn
    01.04 Thu 10:15-11:45, 12:15-13:45 Exercises for assignment 06_transformer
     
    Week 6
    06.04 Tue 14:15 7. Graph neural networks
    06.04 Tue 10:15-11:45, 12:15-13:45 Exercises for assignment 06_transformer
    07.04 Wed 10:15 05_rnn
    07.04 Wed 23:00 06_transformer
    09.04 Fri 10:15-11:45, 12:15-13:45 Exercises for assignment 07_gnn
     
    Week 7: Exam week
     
    Week 8
    19.04 Mon 10:15-11:45, 12:15-13:45
    		 Exercises for assignment 07_gnn
    20.04 Tue 10:15 06_transformer
    20.04 Tue 14:15 8. Autoencoders
    21.04 Wed 23:00 07_gnn
    23.04 Fri 10:15-11:45, 12:15-13:45
    		 Exercises for assignment 08_ae
     
    Week 9
    26.04 Mon 10:15-11:45, 12:15-13:45
    		 Exercises for assignment 08_ae
    27.04 Tue 10:15 07_gnn
    27.04 Tue 14:15 9. Generative adversarial networks
    28.04 Wed 23:00 08_ae
    30.04 Fri 10:15-11:45, 12:15-13:45
    		 Exercises for assignment 09_gan
     
    Week 10
    03.05 Mon 10:15-11:45, 12:15-13:45
    		 Exercises for assignment 09_gan
    04.05 Tue 10:15 08_ae
    04.05 Tue 14:15 10. Auto-regressive and flow-based models
    05.05 Wed 23:00 09_gan
     
    Week 11
    11.05 Tue 10:15 09_gan
    11.05 Tue 14:15 11. Deep learning with few labeled examples
    12.05 Wed 23:00 10_ar
     
    Week 12
    18.05 Thu 10:15 10_ar
    18.05 Tue 14:15 12. Deep reinforcement learning. Guest lecture by Tuomas Haarnoja (DeepMind)
    19.05 Wed 23:00 11_fewshot
    20.05 Thu 10:15 11_fewshot
     
    Week 13: Exam week

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