Wyniki wyszukiwania dla: CONVOLUTIONAL NEURAL NETWORK

• 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...

• 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.

• Network economy and innovation policy st 2024/2025

  Kursy Online

  • C. Xiu
  • A. Guzik
  • A. Lis

  Global Studies / Economics Analytics, II stopień (magisterskie), 3 semestr The aim of the course is to provide framework for exploring innovation theory in the context of the network economy.

• 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 neural networks for data analysis 27/28

  Kursy Online

  • K. Draszawka

• Deep neural networks for data analysis 25/26

  Kursy Online

  • K. Draszawka

• Deep neural networks for data analysis 26/27

  Kursy Online

  • K. Draszawka

• Network economies and innovation policies st 2024/2025 kopia 1

  Kursy Online

  • A. Guzik
  • A. Lis

• 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.

• 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...

• Zaawansowane Metody Pomiarowe i Diagnostyczne 2024/2025

  Kursy Online

  • Z. Czaja
  • G. Lentka
  • A. Kwiatkowski
  • B. Stawarz-Graczyk
  • 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...