Fundamentals of Deep Learning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10249842" target="_blank" >RIV/61989100:27740/22:10249842 - isvavai.cz</a>
Result on the web
<a href="https://events.it4i.cz/event/128/" target="_blank" >https://events.it4i.cz/event/128/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Fundamentals of Deep Learning
Original language description
Deep Learning is a powerful AI approach that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, and language translation. Using deep learning, computers can learn and recognize patterns from data that are considered too complex or subtle for expert-written software. In this workshop, participants learned how deep learning works through hands-on exercises in computer vision and natural language processing. they have trained deep learning models from scratch, learning tools and tricks to achieve highly accurate results. They have also learned to leverage freely available, state-of-the-art pre-trained models to save time and get their deep learning application up and running quickly.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů