Search results for: deep neural networks, explainable artificial intelligence, adver-sarial attacks - Bridge of Knowledge

Search

Search results for: deep neural networks, explainable artificial intelligence, adver-sarial attacks

Search results for: deep neural networks, explainable artificial intelligence, adver-sarial attacks

  • Deep Learning Basics 2023/24

    e-Learning Courses
    • 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.

  • Deep neural networks for data analysis

    e-Learning Courses
    • 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:...

  • Artificial Intelligence

    e-Learning Courses
    • J. Dembski
    • M. Smiatacz

  • Artificial intelligence

    e-Learning Courses
    • J. Dembski
    • M. Smiatacz

  • L23_24 Artificial Intelligence in Healthcare

    e-Learning Courses
    • J. Rumiński

  • Artificial Intelligence - Summer 2023/24

    e-Learning Courses
    • J. Dembski
    • A. Sobociński

  • Computational Intelligence - 2023

    e-Learning Courses
    • Z. Kowalczuk
    • T. Białaszewski

    Widening the students knowledge about the selected methods of artificial intelligence

  • Computational Intelligence 2022

    e-Learning Courses
    • Z. Kowalczuk
    • T. Białaszewski
    • H. Kormański

    Widening the students knowledge about the selected methods of artificial intelligence

  • Computational Intelligence - sem. 2022/23

    e-Learning Courses
    • Z. Kowalczuk
    • T. Białaszewski

    Widening the students knowledge about the selected methods of artificial intelligence

  • Computational Intelligence - 2023/2024 sem.

    e-Learning Courses
    • Z. Kowalczuk
    • T. Białaszewski

    Widening the students knowledge about the selected methods of artificial intelligence

  • Computational Intelligence - sem. 2023/2024

    e-Learning Courses

    Widening the students knowledge about the selected methods of artificial intelligence

  • [Soft Skills] Smart metering - social risk perception and risk governance (2023/2024)

    e-Learning Courses
    • S. Potrykus
    • M. Jaskólski
    • A. Augusiak

    The aim of the course is to broaden the understanding of the risks associated with technology and to present the concept of social risk perception and risk management in the context of smart metering technology. In the current phase of technological development - called the Fourth Industrial Revolution - rapid and profound changes are creating new, particularly destabilizing threats. In the increasingly complex technological systems...

  • Smart metering - social risk perception and risk governance (10h, 2 ECTS credits)

    e-Learning Courses
    • M. Galik
    • A. Klej

    The goal of the course is to broaden the understanding of technology-related risks and to present the concepts of social risk perception and risk governance in the context of smart metering technology. In current phase of technological development – known as the fourth industrial revolution – rapid and profound changes are setting up new and particularly destabilizing risks. In more and more complex technological systems that constitute...

  • Interactive Decision Making, Inżynieria Środowiska, Environmental Engineering, 2023/2024 (summer semester)

    e-Learning Courses
    • A. Jakubczyk-Gałczyńska
    • A. Siemaszko

    The course is designed for students of MSc Studies in Environmental Engineering (studies in Polish and English) Person responsible for the subject, carrying out lectures and tutorials: mgr inż. Agata.Siemaszko; agata.siemaszko@pg.edu.pl The person conducting the lectures and tutorials: dr inż. Anna Jakubczyk-Gałczyńska; anna.jakubczyk@pg.edu.pl The course is conducted using the Project-Based Learning (PBL) method. It provides...