Search results for: FASTER REGION BASED CONVOLUTIONAL NEURAL NETWORK - Bridge of Knowledge

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Search results for: FASTER REGION BASED CONVOLUTIONAL NEURAL NETWORK

Search results for: FASTER REGION BASED CONVOLUTIONAL NEURAL NETWORK

  • 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 24/25

    e-Learning Courses
    • 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...

  • Modeling the Networks - ed. 2021/2022

    e-Learning Courses

    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.

  • Art Composition

    e-Learning Courses
    • K. Wróblewski
    • P. Różycki

    Person in charge: prof. Krzysztof Wróblewski, Department of Visual Arts Teacher: mgr Patryk Różycki, Department of Visual Arts Five Words. Society and Politics. What? By What? General assumptions. The aim of the proposed two artistic compositions is a creative processing of emotions related to the socio-political issues. In general, it is about personal views and feelings, but it must be also considered that architects are...

  • Surface Science - 2023/2024

    e-Learning Courses
    • 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...