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

^ Datum ^ Č.T. ^ S/L ^ Náplň ^ Učitel ^ Materiály ^ Úkol ^
| 23-25.09.2024 | 1  | L | __Intro:__ Introduction to the course and machine learning. | AK | | |
| 30.9-02.10.2024 | 2  | S | __1D regression and 2D classification:__ Revision of the regression and classification theory, analytic gradient computation, gradient in computational graph and loss minimization. | KZ | {{ :courses:b3b33urob:tutorials:template_for_students.zip |}} \\ {{ :courses:b3b33urob:tutorials:labs_02_regression.pdf |}} |  |
| 07-09.10.2024 | 3  | L | Loss, MLP | AK |  | [[courses:b3b33urob:tutorials:hw1|HW01 - MLP]] |
| 14-16.10.2024 | 4  | S | __Autograd:__ Computational graphs, backpropagation and the automatic gradient computation. | JV | {{ :courses:b3b33urob:tutorials:lab04.zip |}} {{ :courses:b3b33urob:tutorials:lab04.pdf |}} \\ {{ :courses:b3b33urob:tutorials:lab04_ref.zip |}} |
| 21-23.10.2024 | 5  | L | __CNN:__ Introduction to the convolution and convolution neural network. | JV | {{ :courses:b3b33urob:tutorials:lab05.zip |}} {{ :courses:b3b33urob:tutorials:lab05_ref.zip |}}| [[courses:b3b33urob:tutorials:hw2|HW02 - Autograd]] |
| 28-30.10.2024 | 6  | S | __Independence day__ | | Preparation for midterm test |
| 04-06.11.2024 | 7  | L | __HPC:__ High performace computing tutorial. | RS | {{ :courses:b3b33urob:tutorials:lab06.zip |}} {{ :courses:b3b33urob:tutorials:lab_06_ref.zip | lab06_ref.zip}} |
| 11-13.11.2024 | 8  | S | __Optimization:__ Convergence rate, oscillations, diminishing gradients. | KZ | {{ :courses:b3b33urob:tutorials:optimizers_student_template.py.zip |}} \\ {{:courses:b3b33urob:tutorials:labs_whiteboard_01.jpg?80|}} {{:courses:b3b33urob:tutorials:labs_whiteboard.jpg?80|}} {{:courses:b3b33urob:tutorials:labs_whiteboard_02.jpg?80|}} | |
| 18-20.11.2024 | 9  | L | __Layers:__ | RS | {{ :courses:b3b33urob:tutorials:hw03.zip | hw03.zip}} | [[courses:b3b33urob:tutorials:hw3|HW03 - segmentation]] |
| 25-27.11.2024 | 10 | S |  __Transformers I:__  Introduction to the transformer architecture, GPT2 | DC |{{ :courses:b3b33urob:tutorials:lab10.zip |}} {{ :courses:b3b33urob:tutorials:lab10_ref.zip |}}  {{ :courses:b3b33urob:tutorials:transformeroverview.mp4?200|}}|  |
| 02-04.12.2024 | 11 | L | __Transformers II:__ Intro into ViTs| DC | | [[courses:b3b33urob:tutorials:hw4|HW04 - Transformers]]|
| 09-11.12.2024 | 12 | S | __RL I Intro:__ Introduction to the reinforcement learning. Policy gradient. | DK |{{ :courses:b3b33urob:tutorials:rl_lab_1.pdf }} | |
| 16-18.12.2024 | 13 | L |  __RL II - Deep learning:__ Deep reinforcement learning. | DK | | [[courses:b3b33urob:tutorials:hw5|HW05 - RL]] |
| 06-08.01.2024 | 14 | S | | | | |