Fundamentals of Deep Learning for Multiple Data Types (PTC Course)

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F20%3A10248905" target="_blank" >RIV/61989100:27740/20:10248905 - isvavai.cz</a>

Result on the web

<a href="https://events.it4i.cz/event/109/" target="_blank" >https://events.it4i.cz/event/109/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Fundamentals of Deep Learning for Multiple Data Types (PTC Course)

Original language description

This day explores how convolutional and recurrent neural networks can be combined to generate effective descriptions of content within images and video clips. Attendees learned how to train a network using TensorFlow and the Microsoft Common Objects in Context (COCO) dataset to generate captions from images and video by: Implementing deep learning workflows like image segmentation and text generation Comparing and contrasting data types, workflows, and frameworks Combining computer vision and natural language processing

Czech name

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Czech description

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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)

Project

<a href="/en/project/LM2018140" target="_blank" >LM2018140: e-Infrastructure CZ</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů