Deep-Learning-Course-2024

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	slides	ipynb	lecture, seminar
4	Recurrent neural networks. LSTM. GRU. DropOut in RNN. State Space Models.	slides	ipynb
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

Deep-Learning-Course
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