This is a repository for Deep Learning course.
| № | Topic | Lecture | Seminar | Recording |
|---|---|---|---|---|
| 1 | Multi-layer perceptron. Gradient calculation | slides | - | record |
| 2 | NN optimization. Regularization | slides | ipynb | lecture, seminar |
| 3 | Weight initialization. Batch normalization. CNN | |||
| 4 | Recurrent neural networks. LSTM. GRU. DropOut in RNN. | |||
| 5 | Attention. Transformer. BERT. | |||
| 6 | Computer vision. Classification. Object detection | |||
| 7 | Semantic segmentation. Instance segmentation. | |||
| 8 | Reinforcement learning. V-, Q-functions. Belman equations. Value iteration. | - | ||
| 9 | Monte-Carlo methods. Temporal learning. Q-learning. DQN. | |||
| 10 | Policy gradients. Actor-Critic algorithm. | |||
| 11 | Generative models. VAE | |||
| 12 | Autoregressive model. GAN. | - | ||
| 13 | Graph Learning |