CS-E4890 - Deep Learning D, Lecture, 1.3.2022-27.5.2022
This course space end date is set to 27.05.2022 Search Courses: CS-E4890
Topic outline
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Lectures Exercise sessions Assignment deadlines Solution sessions Week 101.03 Tue 14:15 1. Introduction 03.03 Thu 14:15 2. Optimization 04.03 Fri 10:15-11:45, 12:15-13:45 Exercises for assignment 01_mlp Week 207.03 Mon 10:15-11:45, 12:15-13:45 Exercises for assignment 01_mlp 08.03 Tue 14:15 3. Convolutional neural networks 09.03 Wed 23:00 01_mlp 11.03 Fri 10:15-11:45, 12:15-13:45 Exercises for assignment 02_cnn Week 314.03 Mon 10:15-11:45, 12:15-13:45 Exercises for assignment 02_cnn 15.03 Tue 10:15 01_mlp 15.03 Tue 14:15 4. Regularization 16.03 Wed 23:00 02_cnn 18.03 Fri 10:15-11:45, 12:15-13:45 Exercises for assignment 03_reg Week 421.03 Mon 10:15-11:45, 12:15-13:45 Exercises for assignment 03_reg 22.03 Tue 10:15 02_cnn 22.03 Tue 14:15 5. Recurrent neural networks 23.03 Wed 23:00 03_reg 25.03 Fri 10:15-11:45, 12:15-13:45 Exercises for assignment 04_rnn Week 528.03 Mon 10:15-11:45, 12:15-13:45 Exercises for assignment 04_rnn 29.03 Tue 10:15 03_reg 29.03 Tue 14:15 6. Attention-based models 30.03 Wed 23:00 04_rnn 01.04 Fri 10:15-11:45, 12:15-13:45 Exercises for assignment 05_transformer Week 604.04 Mon 10:15-11:45, 12:15-13:45 Exercises for assignment 05_transformer 05.04 Tue 14:15 7. Graph neural networks 05.04 Tue 10:15 04_rnn 06.04 Wed 23:00 05_transformer 08.04 Fri 10:15-11:45, 12:15-13:45 Exercises for assignment 06_gnn Week 7: Exam weekWeek 819.04 Tue 10:15-11:45, 12:15-13:45 Exercises for assignment 06_gnn 19.04 Tue 14:15 8. Autoencoders 20.04 Wed 10:15 05_transformer 20.04 Wed 23:00 06_gnn 22.04 Fri 10:15-11:45, 12:15-13:45 Exercises for assignment 07_ae Week 925.04 Mon 10:15-11:45, 12:15-13:45 Exercises for assignment 07_ae 26.04 Tue 10:15 06_gnn 26.04 Tue 14:15 9. Generative adversarial networks 27.04 Wed 23:00 07_ae 29.04 Fri 10:15-11:45, 12:15-13:45 Exercises for assignment 08_gan Week 1002.05 Mon 10:15-11:45, 12:15-13:45 Exercises for assignment 08_gan 03.05 Tue 10:15 07_ae 03.05 Tue 14:15 10. Auto-regressive and flow-based models 04.05 Wed 23:00 08_gan Week 1110.05 Tue 10:15 08_gan 10.05 Tue 14:15 11. Deep learning with few labeled examples 11.05 Wed 23:00 09_ar Week 1217.05 Tue 10:15 09_ar 17.05 Tue 14:15 12. Unsupervised learning via denoising 18.05 Wed 23:00 10_fewshot 19.05 Thu 10:15 10_fewshot Week 1324.05 Tue 14:15 13. Guest lecture by Kyunghyun Cho (New York University) Week 14: Exam week