HSE 2022

Computer Vision

1. Image preprocessing
2. FFT and filters
3. Morphology, Gabor filter, histograms
4. RANSAC, Hough transform
5. Classification
6. Laplace pyramid & Deep Image prior

Deep Learning

1. Linear Regression, Gradient Descent, ML and MAP, Regularization
2. Generalized Linear Models, Logistic Regression
3. Dropout, Adam, Adversarial Attack
4. [CNN, Pooling layers, Style transfer](to be added soon)
5. RNN, LSTM, Distillation

Deep Reinforcement Learning

1. LunarLander with DQN
2. PPO
3. TD3

Machine Learning

1. KNN
2. Clustering
3. Linear regression
4. Perceptron
5. Nueral network
6. This Cat Does Not Exist
7. SVM
8. Decision trees
9. Random forest
10. Naive Bayes
11. Stochastic Stranding

Natural language processing

1. Word embeddings
2. Classification
3. Language models