====== Labs ======

The labs have the same structure as [[ courses:b3b33urob:start | B3B33UROB ]] course

  * [[https://github.com/urob-ctu| UROB Course github]]
  * [[https://urob-ctu.github.io/docs| UROB Course pages]]

\\

=== Lab schedule ===



^ Date ^ Week ^ Topic ^ Resources ^ Homework assignment ^
| 24.9.2025 | 1  | __Intro:__ Introduction to the course and machine learning. | [[https://urob-ctu.github.io/docs/docs/classification/classification.html|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. | {{ :courses:b3b33urob:tutorials:template_for_students.zip |}} \\ {{ :courses:b3b33urob:tutorials:labs_02_regression.pdf |}} |  |
| 8.10.2025 | 3  | __Loss, MLP__ |  | [[courses:becm33dpl:tutorials:hw1|HW01 - MLP]] |
| 15.10.2025 | 4  |  __Autograd:__ Computational graphs, backpropagation and the automatic gradient computation. | {{ :courses:b3b33urob:tutorials:lab04.zip |}} {{ :courses:b3b33urob:tutorials:lab04.pdf |}} \\ {{ :courses:b3b33urob:tutorials:lab04_ref.zip |}} |
| 22.10.2025 | 5 | <fc #f00000>// Labs cancelled (ICCV 2025) //</fc> | | <fc #f00000>// HW01 deadline //</fc> |
| 29.10.2025 | 6  | __CNN:__ Introduction to convolution and convolution neural networks | {{ :courses:b3b33urob:tutorials:lab05.zip |}} {{ :courses:b3b33urob:tutorials:lab05_ref.zip |}}| [[courses:becm33dpl:tutorials:hw2|HW02 - Autograd]] |
| 5.11.2025 | 7  | __Training of neural networks__ | {{ :courses:becm33dpl:tutorials:lab06.zip |}} \\ {{ :courses:becm33dpl:tutorials:lab06_solved.zip |}} |
| 12.11.2025 | 8  | __Layers of Neural Networks__ |  {{ :courses:becm33dpl:tutorials:lab7.zip |}} | <fc #f00000>// HW02 deadline //</fc>  \\ [[courses:becm33dpl:tutorials:hw3|HW03 - segmentation]] |
| 19.11.2025 | 9  | __Optimization:__ Convergence rate, oscillations, diminishing gradients. | {{ :courses:becm33dpl:tutorials:lab8.zip |}} | |
| 26.11.2025 | 10 |  __Transformers I:__  Introduction to the transformer architecture, GPT2 | {{ :courses:becm33dpl:tutorials:lab10.zip |}} |   |
| 3.12.2025 | 11  |  __Transformers II:__ Intro into ViTs| | <fc #f00000>// HW03 deadline //</fc> [[courses:becm33dpl:tutorials:hw4|HW04 - Transformers]] |
| 10.12.2025 | 12 | __RL I Intro:__ Introduction to the reinforcement learning. Policy gradient. | {{ :courses:b3b33urob:tutorials:rl_lab_1.pdf }} | 
| 17.12.2025 | 13 |  __RL II - Deep learning:__ Deep reinforcement learning. | | <fc #f00000>// HW04 deadline //</fc>  [[courses:becm33dpl:tutorials:hw5|HW05 - RL]] |
| 7.1.2026 | 14 | | | <fc #f00000>// HW05 deadline //</fc> |