Fundamentals of Deep Learning for Computer Vision (IT4I training)
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F20%3A10248900" target="_blank" >RIV/61989100:27740/20:10248900 - isvavai.cz</a>
Výsledek na webu
—
DOI - Digital Object Identifier
—
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Fundamentals of Deep Learning for Computer Vision (IT4I training)
Popis výsledku v původním jazyce
Attendees learned how to: Implement common deep learning workflows, such as image classification and object detection, Experiment with data, training parameters, network structure, and other strategies to increase performance and capability, Deploy your neural networks to start solving real-world problems. Upon completion, you'll be able to start solving problems on your own with deep learning. NVIDIA Deep Learning Institute (DLI) offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning. This workshop contains lectures and hands-on exercises about fundamentals of Deep Learning for Computer Vision, to learn how to train and deploy a neural network to solve real-world problems.
Název v anglickém jazyce
Fundamentals of Deep Learning for Computer Vision (IT4I training)
Popis výsledku anglicky
Attendees learned how to: Implement common deep learning workflows, such as image classification and object detection, Experiment with data, training parameters, network structure, and other strategies to increase performance and capability, Deploy your neural networks to start solving real-world problems. Upon completion, you'll be able to start solving problems on your own with deep learning. NVIDIA Deep Learning Institute (DLI) offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning. This workshop contains lectures and hands-on exercises about fundamentals of Deep Learning for Computer Vision, to learn how to train and deploy a neural network to solve real-world problems.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/LM2018140" target="_blank" >LM2018140: e-Infrastruktura CZ</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů