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