Pattern recognitionLaajuus (5 cr)
Code: AT00CV66
Credits
5 op
Objective
Student is able to
- identify and use CNN basic structures
- use OpenCV library (or similar) while solving pattern recognition problems
- train, validate and test convolutional neural networks
- tune hyperparameters and evaluate the model accuracy and performance
Enrollment
07.05.2025 - 31.08.2025
Timing
01.09.2025 - 12.12.2025
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Faculty of Technology (LAB)
Campus
E-campus
Teaching languages
- Finnish
Degree programmes
- Bachelor's Degree Programme in Information Technology (in Finnish)
Teachers
- Matti Welin
- LAB_virtuaalihenkilö_TVT_01 Virtuaaliopettaja (LAB)
Scheduling groups
- Verkkoluento 1 (Size: 100. Open UAS: 0.)
Groups
-
TLTITVT23SV
Small groups
- Online lecture 1
Learning outcomes
Student is able to
- identify and use CNN basic structures
- use OpenCV library (or similar) while solving pattern recognition problems
- train, validate and test convolutional neural networks
- tune hyperparameters and evaluate the model accuracy and performance
Assessment scale
1-5