ZBUM - Biometrics and Machine Learning Group Site - Biometrics and Machine Learning Group

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    • M. Trokielewicz
    • E. Bartuzi
    • M. Hałoń
    • K. Roszczewska
    • A. Dzieniszewska
    • W. Gutfeter
    • K. Gabor
    • M. Azimi
    • J. N. Khirak
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Biometrics and Machine Learning Group

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Latest news

February 2025: conference proceedings - Rasel Ahmed Bhuiyan, Mateusz Trokielewicz, Piotr Maciejewicz, Sherri Bucher, Adam Czajka. "Iris Recognition for Infants" Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops, February 2025, pp. 83-92.

December 2024: journal papers - Mateusz Trokielewicz, Piotr Maciejewicz, Adam Czajka. "Post-mortem iris biometrics – Field, applications and methods." Forensic Science International, Volume 365, 2024, Article 112293. ISSN 0379-0738. https://doi.org/10.1016/j .forsciint.2024.112293.

April 2024: journal papers - Adrian Kordas, Ewelina Bartuzi-Trokielewicz, Michał Ołowski, Mateusz Trokielewicz, "Synthetic Iris Images: A Comparative Analysis between Cartesian and Polar Representation" 2024, Sensors, 24(7), 2269, https://doi.org/10.3390/ s24072269

We are pleased to announce that Weronika Gutfeter defended her doctoral dissertation on face recognition based on multi-shot images using deep aggregation networks, supervised by prof. Andrzej Pacut, on the 18th of May, 2023.

wersja polska

Introduction to Neural Networks

back to Introduction to Neural Networks (CSE 40868/60868)

Practicals

Practical 3, Mon. 11/28/2016: Recurrent Neural Networks (materials)
We will use different variants of RNN to classify MNIST handwritten digits.

Practical 2, Fri. 10/28/2016: Convolutional Neural Networks (materials)
We will practice with one way of transfer learning: the CNN as a feature extractor connected to a linear SVM recognizing various objects.

Practical 1, Fri. 10/7/2016: Multilayer perceptrons (materials)
We will build multilayer perceptrons in MATLAB and check their properties.

Contact us

Institute of Control
and Computation Engineering

Warsaw University of Technology
ul. Nowowiejska 15/19
00-665 Warsaw, Poland
phone: +48 (22) 234 73 97

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