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

^ Datum ^ Č.T. ^ S/L ^ Náplň ^ Učitel ^ Materiály ^
| 25-26.09.2023 | 1  | L | __Intro:__ Introduction to the course, Python, NumPy, GitHub, Jupyter Notebook and the environment. | PV | [[https://cs231n.github.io/python-numpy-tutorial/| Python & Numpy]] \\ {{ :courses:b3b33urob:tutorials:lab1.tar | Notebook}} {{ :courses:b3b33urob:tutorials:lab1_windows.zip | Notebook (Zip)}} | 
| 02-03.10.2023 | 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 |}}|
| 09-10.10.2023 | 3  | L | __Autograd:__ Computational graphs, backpropagation and the automatic gradient computation. | JV | [[courses:b3b33urob:tutorials:hw1|HW1: Autograd]] \\ {{ :courses:b3b33urob:tutorials:engine_lab.py | engine_lab}} {{ :courses:b3b33urob:tutorials:engine_ref.py | engine_ref}} \\ {{ :courses:b3b33urob:tutorials:lab03.pdf |}} |
| 16-17.10.2023 | 4  | S | __Classification I - Intro:__ Revision of the classification theory, KNN and the linear classifier. | AK | |
| 23-24.10.2023 | 5  | L | __Classification II - NN:__ Classification using neural networks.  | AK | [[courses:b3b33urob:tutorials:ales|HW2: Classification]] |
| 30-31.10.2023 | 6  | S | __CNN I - Intro:__ Introduction to the convolution and to the PyTorch library. | JV | {{ :courses:b3b33urob:tutorials:lab06.zip |}} {{ :courses:b3b33urob:tutorials:lab06_ref.zip |}}|
| 06-07.11.2023 | 7  | L | __Optimization:__ Convergence rate, oscillations, diminishing gradients. | KZ | {{ :courses:b3b33urob:tutorials:optimizers_student_template.py.zip |}} |
| 13-14.11.2023 | 8  | S | __CNN II: Training a classifier:__ Training a simple CNN classifier. | JV | {{courses:b3b33urob:tutorials:lab08.zip}} {{courses:b3b33urob:tutorials:lab08_ref.zip}}|
| 20-21.11.2023 | 9  | L | //Dean's day// |  | |
| 27-28.11.2023 | 10 | S |  __CNN III - Semantic segmentation:__ Segmentation of images using CNN.| PV | [[courses:b3b33urob:tutorials:hw3-segmentation|HW 3 - Segmentation]] {{ :courses:b3b33urob:tutorials:segmentation.tgz | HW3}}|
| 04-05.12.2023 | 11 | L | __RL I Intro:__Introduction to the reinforcement learning. Policy gradient. | TT | [[courses:b3b33urob:tutorials:hw4|HW4: Reinforcement learning]] |
| 11-12.12.2023 | 12 | S | __RL II - Deep learning:__Deep reinforcement learning. | TT | |
| 18-19.12.2023 | 13 | L |  __CNN IV - Semantic Segmentation:__ Presentations, Team projects | PV | |
| 08-09.01.2023 | 14 | S | __Transformers:__ Applications of the transformers. | DC |{{ :courses:b3b33urob:tutorials:lab05.zip |}} |