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Wyniki wyszukiwania dla: GRAPH NEURAL NETWORK

Wyniki wyszukiwania dla: GRAPH NEURAL NETWORK

  • Deep neural networks for data analysis

    Kursy Online
    • K. Draszawka

    The aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...

  • Computer Networks EN 2022

    Kursy Online
    • J. Woźniak
    • J. Grochowski
    • K. Gierłowski

    The student becomes familiar with the network layered logical architectures, classifies the basic problems of network communication and identifies and analyzes selected protocols and mechanisms of LAN and WAN (IP) networks.

  • Computer Networks EN 2023

    Kursy Online
    • M. Hoeft
    • J. Woźniak
    • J. Grochowski
    • K. Gierłowski

    The student becomes familiar with the network layered logical architectures, classifies the basic problems of network communication and identifies and analyzes selected protocols and mechanisms of LAN and WAN (IP) networks.

  • Deep Learning Basics 2023/24

    Kursy Online
    • K. Draszawka

    A course about the basics of deep learning intended for students of Computer Science. It includes an introduction to supervised machine learning, the architecture of basic artificial neural networks and their training algorithms, as well as more advanced architectures (convolutional networks, recurrent networks, transformers) and regularization and optimization techniques.

  • Nonrelational Databases DE 2023_2024

    Kursy Online
    • G. Gołaszewski
    • T. Zawadzka

    This course discusses three types of non-relational databases (i.e., document, graph, and key-value). The course is aimed at students in the 5th semester of data engineering.

  • Non-relational Databases 2022/2023

    Kursy Online
    • G. Gołaszewski
    • T. Zawadzka

    This course discusses the three types of non-relational databases (i.e. document, graph, key-value). The course is aimed at students in the 7th semester of computer science.

  • Non-relational Databases 2023/2024

    Kursy Online
    • G. Gołaszewski
    • T. Zawadzka

    This course discusses the three types of non-relational databases (i.e. document, graph, key-value). The course is aimed at students in the 7th semester of computer science.

  • Nonrelational Databases DE 2022_2023

    Kursy Online
    • G. Gołaszewski
    • T. Zawadzka

    Within this course the four types of non-relational databases (i.e. document, graph, key-value and column-oriented) are discussed. The course is aimed at students of the 5th semester of data engineering.

  • Sieciowe systemy operacyjne 2022

    Kursy Online
    • W. Gumiński

    {mlang pl}Sieciowe systemy operacyjne 2021/22, informatyka, studia II stopnia, I sem. studia stacjonarne{mlang} {mlang en}Network Operating Systems 2021/22, Informatics, full-time postgraduate studies, 1st semester{mlang}

  • Sieciowe systemy operacyjne 2023

    Kursy Online
    • W. Gumiński

    {mlang pl}Sieciowe systemy operacyjne 2022/23, informatyka, studia II stopnia, I sem. studia stacjonarne{mlang} {mlang en}Network Operating Systems 2022/23, Informatics, full-time postgraduate studies, 1st semester{mlang}

  • Sieciowe systemy operacyjne 2024

    Kursy Online
    • W. Gumiński

    {mlang pl}Sieciowe systemy operacyjne 2023/24, informatyka, studia II stopnia, I sem. studia stacjonarne{mlang} {mlang en}Network Operating Systems 2023/24, Informatics, full-time postgraduate studies, 1st semester{mlang}

  • Modeling the Networks - ed. 2021/2022

    Kursy Online

    The goal of this course is to present optimization problems for road networks, where the road network is a set of n distinct lines, or n distinct (open or closed) line segments, in the plane, such that their union is a connected region.

  • Surface Science - 2023/2024

    Kursy Online
    • A. Manohar
    • J. Ryl
    • L. Piotrowski
    • A. Tober

    The course is not a full time lecture but on the consultation/handouts. The consulations are held every two weeks. The course is based on the Springer textbook: Surface Science An Introduction Downloadable at: https://link.springer.com/book/10.1007/978-3-662-05179-5 (PG network or vpn access) The goal of the subject is the presentation of basic problems resulting from he existence of interfacebetween material objects...

  • Zaawansowane Metody Pomiarowe i Diagnostyczne 2022/2023

    Kursy Online
    • Z. Czaja
    • G. Lentka
    • J. Smulko
    • A. Kwiatkowski
    • M. Kowalewski

    {mlang en} 1. Introduction/Guide for the use of the International System of Units2. Rules and style conventions for expressing values of quantities.3. The role of measurement uncertainty in conformity assessment. 4. Probabilistic model for measurement processes, estimation theory5. Analog-digital conversion methods6. Selected structures of classical analog-digital converters7. New techniques of analog-digital conversion: sigma-delta...

  • Zaawansowane Metody Pomiarowe i Diagnostyczne 2023/2024

    Kursy Online
    • Z. Czaja
    • G. Lentka
    • J. Smulko
    • A. Kwiatkowski
    • M. Kowalewski

    {mlang en} 1. Introduction/Guide for the use of the International System of Units2. Rules and style conventions for expressing values of quantities.3. The role of measurement uncertainty in conformity assessment. 4. Probabilistic model for measurement processes, estimation theory5. Analog-digital conversion methods6. Selected structures of classical analog-digital converters7. New techniques of analog-digital conversion: sigma-delta...