Labs

The labs have the same structure as B3B33UROB course

Date	Week	Topic	Resources	Homework assignment
24.9.2025	1	Intro: Introduction to the course and machine learning.	Classification
1.10.2025	2	1D regression and 2D classification: Revision of the regression and classification theory, analytic gradient computation, gradient in computational graph and loss minimization.	template_for_students.zip labs_02_regression.pdf
8.10.2025	3	Loss, MLP		HW01 - MLP
15.10.2025	4	Autograd: Computational graphs, backpropagation and the automatic gradient computation.	lab04.zip lab04.pdf lab04_ref.zip
22.10.2025	5	Labs cancelled (ICCV 2025)		HW01 deadline
29.10.2025	6	CNN: Introduction to convolution and convolution neural networks	lab05.zip lab05_ref.zip	HW02 - Autograd
5.11.2025	7	Training of neural networks	lab06.zip lab06_solved.zip
12.11.2025	8	Layers of Neural Networks	lab7.zip	HW02 deadline HW03 - segmentation
19.11.2025	9	Optimization: Convergence rate, oscillations, diminishing gradients.	lab8.zip
26.11.2025	10	Transformers I: Introduction to the transformer architecture, GPT2	lab10.zip
3.12.2025	11	Transformers II: Intro into ViTs		HW03 deadline HW04 - Transformers
10.12.2025	12	RL I Intro: Introduction to the reinforcement learning. Policy gradient.	rl_lab_1.pdf
17.12.2025	13	RL II - Deep learning: Deep reinforcement learning.		HW04 deadline HW05 - RL
7.1.2026	14			HW05 deadline