Warning
This page is located in archive. Go to the latest version of this course pages. Go the latest version of this page.

Labs

datum č.t. S/L náplň Učitel Tutoriály  Materiály
20.09.2021 - 23.09.2021 1 L Python, Numpy, Pytorch intro - Home exercise! NumPy & PyTorch tutorial
27.09.2021 - 29.09.2021 2 S Optimization Task - Blackbox Legged Robot KZ
HW1
4.10.2021 - 6.10.2021 3 L Maximum Likelihood Estimate and Regression, Backpropagation KZ
11.10.2021 - 13.10.2021 4 S Classification - Data, Training skeleton, Baseline Model PV Classification - Materials
18.10.2021 - 20.10.2021 5 L Classification - Convolutional Neural networks, Training, Hyperparameters, GPU servers PV HW2
25.10.2021 - 27.10.2021 6 S Classification - Overfitting and Regularization, Pre-training and Fine-Tunning PV
01.11.2021 - 3.11.2021 7 L Semantic Segmentation - Encoder & Decoder Architecture, 3D Autonomous Driving Use Case PV HW3
08.11.2021 - 10.11.2021 8 S Work on Homeworks
15.11.2021 - 17.11.2021 9 L Object detection I VS Object detection - video pdf HW4
22.11.2021 - 24.11.2021 10 S Object detection II VS
29.11.2021 - 1.12.2021 11 L Generative Adversarial Network (David Coufal) DC HW 5
06.12.2021 - 08.12.2021 12 S Generative Adversarial Network (David Coufal) DC
13.12.2021 - 15.12.2021 13 L Reinforcement Learning I KZ
3.1.2022 - 5.1.2022 14 S How can we improve VIR? (ideas for new labs/HW/examples/demos…) KZ
courses/b3b33vir/tutorials/start.txt · Last modified: 2021/12/20 09:59 by zimmerk