Selected Topics in Machine Learning Optimization, Computer Vision and Networks
Curso
En Bogota
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Descripción
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Tipología
Curso
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Lugar
Bogota
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Horas lectivas
32h
The speakers will provide a concise description of advanced developments in computer vision, machine learning over graphs and distributed optimization. We will focus on strong foundational understanding of concepts and its applications to modern engineering systems.
Sedes y fechas disponibles
Ubicación
Inicio
Inicio
A tener en cuenta
Introduce the audience to recent developments in computer vision, machine learning over networks and distributed optimization theory and applications to engineering.
Senior undergraduate students in engineering, computer science and mathematics. Graduate students in engineering, computer science, and mathematics. Some prior knowledge on linear algebra, probability theory and real analysis would be recommended.
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Este centro lleva 14 años en Emagister.
Materias
- Machine learning
- Computer Vision
- Informática
- Programación
- Network science
Programa académico
Network science
Spectral graph theory
Label propagation
Graph neural networks
Day 2 (Jun 14) - Distributed Optimization
Basics of optimization
The consensus problem
Distributed learning
Applications
Day 3 (Jun 15) - Computer Vision
Neural networks in vision (overview)
Texture and style synthesis
Generative image models
Neural rendering
Day 4 (Jun 16) - Labs & Demos
Networks
Distributed Optimization
Computer Vision
Day 5 (Jun 17) - ML Research Symposium
Invited Speakers Symposium
Graduate school in the US
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Selected Topics in Machine Learning Optimization, Computer Vision and Networks