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Search results for: object detection, remote sensing images, optical images, machine learning, neural network, cnn, deep learning
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Deep Learning Basics 2023/24
e-Learning CoursesA 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.
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Machine learning for PhD students
e-Learning CoursesAn introductory course in machine learning for PhD students from Department of Geotechnical and Hydraulic Engineering
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Deep neural networks for data analysis 24/25
e-Learning CoursesThis 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...
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Deep Learning w Keras
e-Learning CoursesKurs przeznaczony dla słuchaczy studiów podyplomowych Sztuczna inteligencja i automatyzacja procesów biznesowych w ujęciu praktycznym - edycja biznesowa.
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Basics of Deep Learning 24/25
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Deep neural networks for data analysis
e-Learning CoursesThe 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:...
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E-learning courses
e-Learning CoursesStrona zawiera zbiór kursów prowadzonych metodą e-learning. Kursy te są skierowane do studentów I stopnia kierunku informatyka na VII semestrze profilu Bazy danych, do studentów na kierunku informatyka na II semestrze studiów II stopnia na specjalności ZAD i ISI.
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e-Learning - user's guide for students
e-Learning Coursese-Learning - user's guide for students
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Systemy z Uczeniem Maszynowym / Systems with Machine Learning
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Satellite remote sensing - EMSS - 2022
e-Learning CoursesThis course is designed for M.Sc. students of Space and Satellite Technologies, including HSB specialries Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space Systems (EMSS).
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Satellite remote sensing - EMSS - 2023
e-Learning CoursesThis course is designed for M.Sc. students of Space and Satellite Technologies, including HSB specialries Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space Systems (EMSS).
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Systemy z Uczeniem Maszynowym / Systems with Machine Learning 2022/2023
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Desiging e-learning courses and distance learning (level 1. certified course)
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Blended Learning Tasks 2
e-Learning CoursesKurs dla Wydziału Mechanicznego
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Blended Learning Tasks 6
e-Learning CoursesKurs dla Wydziału Architektury
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Blended Learning Tasks 4
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Blended Learning Tasks 1
e-Learning CoursesKurs dla Wydziału Mechanicznego
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Blended Learning Tasks 5
e-Learning CoursesKurs dla ETI
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Blended Learning Tasks 3
e-Learning CoursesKurs dla WILiŚ
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E-learning workshops with Norbert Berger
e-Learning CoursesThe series of workshops supports MBA faculty in planning, designing, delivering and assessing blended and online modules for their cohorts. It is supplemented by individual coaching to create Moodle and conferencing solutions and their delivery.
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Change Detection in Signals 2023
e-Learning CoursesChange Detection in Signals - files for students.
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[EMSS] Satellite Technologies: Satellite as a System, Satellite Remote Sensing 2023/24
e-Learning CoursesThis course is designed for M.Sc. students of Space and Satellite Technologies, including HSB diploma profiles Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space Systems (EMSS).
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Projektowanie zajęć prowadzonych na odległość (10h e-learning)
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„Active learning w praktyce” - 17. Szkolenie certyfikowane 13.12.2022 r.
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„Active learning w praktyce” - 4. Szkolenie certyfikowane 21.10.2022 r.
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Object Programming
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Network economy and innovation policy st 2024/2025
e-Learning CoursesGlobal 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.
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Object Programming 2023
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Object Programming 2024
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Machine Design 2
e-Learning CoursesMachine Design 2, what else?
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Remote diploma examination
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Modeling in Machine Design
e-Learning CoursesThe course is meant to show the students how to build calculation models in machine design
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Machine Design Selected Problems
e-Learning CoursesIn this course a deepened knowlege of the problems of machine design selected and pointed out by the students is presented
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Machine Design 3, 2021/22
e-Learning CoursesThe course contains a set of practical excercises in machine design with the goal to integrate and consolidate the earlier competency in general machine design.
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Modelling in machine design (PG_00057377)
e-Learning Coursesgoal of the subject is to show how simple enginnering models reflect the reality and how contemporary FEM calulations can illustrate the operation of machine elements
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SELECTED PROBLEMS OF MACHINE DYNAMICS (2024)
e-Learning CoursesThe course is devoted towards lectures assocuated with the novel issues of machine and structures dynamics. The following lectures will be given during the SPMD course: - introduction to selected problems of machine dynamics, - definition of the machine and structure working environment, - internal and external loads on machines and structures, - dynamics of machines and structures, - strength of machines and structures, - special...
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Random Processes 2022/2023
e-Learning CoursesThe e-learning course page for the purpose of the remote or hybrid learning for Random Processes.
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Random Processes 2023/2024
e-Learning CoursesThe e-learning course page for the purpose of the remote or hybrid learning for Random Processes.
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Random Processes 2024/2025
e-Learning CoursesThe e-learning course page for the purpose of the remote or hybrid learning for Random Processes.
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Modelling in machine design (PG_00057377)_2024
e-Learning CoursesMachine Design - selected problems is a subject in which we will deepen understanding of selected topics from FMD course
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Machine Design - selected problems (M:320384W0)
e-Learning CoursesMachine Design - selected problems is a subject in which we will deepen understanding of selected topics from FMD course
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Machine Design - selected problems (M:320384W0)
e-Learning CoursesMachine Design - selected problems is a subject in which we will deepen understanding of selected topics from FMD course
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Fundamentals of Optical Fibers and Photonics - 2021/2022
e-Learning CoursesTechnika światłowodowa i fotonika: 2 st. 2 sem., kierunek elektronika i telekomunikacja
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Fundamentals of Optical Fibers and Photonics - 2024/2025
e-Learning Courses -
Fundamentals of Optical Fibers and Photonics - 2023/2024
e-Learning CoursesTechnika światłowodowa i fotonika: 2 st. 2 sem., kierunek elektronika i telekomunikacja
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Selected Problems of Machine Dynamics
e-Learning CoursesThe following set of lectures is performed: 1. LECTURE No.1 - INTRODUCTION TO SELECTED PROBLEMS OF MACHINE DYNAMICS. STRUCTURES and MACHINES 2. LECTURE No.2 - ENVIRONMENT, LOADS ON STRUCTURES and MACHINES 3. LECTURE No.3 - DYNAMICS of STRUCTURES and MACHINES 4. LECTURE No.4 - STRENGTH of STRUCTURES and MACHINES 5. LECTURE No.5 - SPECIAL PROBLEMS ASSOCIATED with DYNAMICS and STRENGTH of STRUCTURES and MACHINES
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Machine Design PG_00059691
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Selected Problems of Machine Dynamics II
e-Learning CoursesThe following set of lectures is performed: 1. LECTURE No.1 - INTRODUCTION TO SELECTED PROBLEMS OF MACHINE DYNAMICS. STRUCTURES and MACHINES 2. LECTURE No.2 - ENVIRONMENT, LOADS ON STRUCTURES and MACHINES 3. LECTURE No.3 - DYNAMICS of STRUCTURES and MACHINES 4. LECTURE No.4 - STRENGTH of STRUCTURES and MACHINES 5. LECTURE No.5 - SPECIAL PROBLEMS ASSOCIATED with DYNAMICS and STRENGTH of STRUCTURES and MACHINES
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Selected Problems of Machine Dynamics - advances
e-Learning CoursesThe following set of lectures is performed: 1. LECTURE No.1 - INTRODUCTION TO SELECTED PROBLEMS OF MACHINE DYNAMICS. STRUCTURES and MACHINES 2. LECTURE No.2 - ENVIRONMENT, LOADS ON STRUCTURES and MACHINES 3. LECTURE No.3 - DYNAMICS of STRUCTURES and MACHINES 4. LECTURE No.4 - STRENGTH of STRUCTURES and MACHINES 5. LECTURE No.5 - SPECIAL PROBLEMS ASSOCIATED with DYNAMICS and STRENGTH of STRUCTURES and MACHINES
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Selected Problems of Machine Dynamics - advances
e-Learning CoursesThe following set of lectures is performed: 1. LECTURE No.1 - INTRODUCTION TO SELECTED PROBLEMS OF MACHINE DYNAMICS. STRUCTURES and MACHINES 2. LECTURE No.2 - ENVIRONMENT, LOADS ON STRUCTURES and MACHINES 3. LECTURE No.3 - DYNAMICS of STRUCTURES and MACHINES 4. LECTURE No.4 - STRENGTH of STRUCTURES and MACHINES 5. LECTURE No.5 - SPECIAL PROBLEMS ASSOCIATED with DYNAMICS and STRENGTH of STRUCTURES and MACHINES