Wyniki wyszukiwania dla: training, deep learning, image resolution, roads, urban areas, imaging, safety - MOST Wiedzy

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Wyniki wyszukiwania dla: training, deep learning, image resolution, roads, urban areas, imaging, safety

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wszystkich: 221
wybranych: 5

Wyniki wyszukiwania dla: training, deep learning, image resolution, roads, urban areas, imaging, safety

  • 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:...

  • 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.

  • Architectural and urban theories in urban regeneration

    Kursy Online
    • K. Piątkowska
    • L. Nyka
    • P. Lorens

    This course deals with key issues associated with contemporary architectural and urban teories associated with transformation and revitalization of the distressed / degradated areas and buildings / objects. The architectural topics will be presented by dr Ksenia Piątkowska and Prof. Lucyna Nyka, while urban topics will be discussed by Prof. Piotr Lorens. Particular topics and themes will be presented according to the individual...

  • Deep neural networks for data analysis 24/25

    Kursy Online
    • J. Cychnerski
    • K. Draszawka

    This course covers introduction to supervised machine learning, construction of basic artificial deep neural networks (DNNs) and basic training algorithms, as well as the overview of popular DNNs architectures (convolutional networks, recurrent networks, transformers). The course introduces students to popular regularization techniques for deep models. Besides theory, large part of the course is the project in which students apply...

  • Elective Project I _ Shelter_learning by doing

    Kursy Online
    • G. Rembarz
    • B. Bou Kalfouni

    Elective Project I _ Shelter - learning by doing “Your creativity and skills play an important role in making an impact in responding to humanitarian challenges and global crises” The world seems to be reeling from one crisis to another. Recently we experienced climate crises, global pandemic (Covid-19), economic uncertainty, wars, floods, wildfire, and earthquakes. Proceeding from the challenges facing humanity at the global...