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Deep learning

Course provider

DTU - Danmarks Tekniske Universitet

Location

  • Farum

Description

About the deep learning course:

Machine perception of natural signals has improved a lot in the recent years thanks to deep learning (DL). Improved vision systems with DL will make self-driving cars possible and is leading to more accurate image-based medical diagnosis.

Improved speech recognition and natural language processing with DL will lead to many new intelligent applications within health-care and IT.

Pattern recognition with DL in large datasets will give new tools for drug discovery, condition monitoring and many other data-driven applications. Applications in other areas such as natural language processing, biology, finance and robotics are numerous.

Deep learning is an important tool for the leading IT companies' ambition about becoming machine learning and AI first companies. This course is designed to help you integrate deep learning into your organisation.

OBS:
Place: DTU, Anker Engelunds Vej 1, Bygning 101A, mødecenter S14, Kgs. Lyngby

DTU - Danmarks Tekniske Universitet

Practical information

Course provider

DTU - Danmarks Tekniske Universitet

Location

  • Farum

Course provider contact information

Contact Finanskompetencepuljen
E-mail: learnforlife@dtu.dk
Tel.:4525 4525

ECTS credits

0

About ECTS Credits
About ECTS points ECTS stands for European Credit Transfer System. This is a system that can be used for credit transfer within higher education abroad or in Denmark.

Course language

English

Offered to

Spring/Autumn

Course duration

Se kursusforløb og tilmeldingsfrister på DTU's egen hjemmeside eller kontakt DTU direkte, hvis der ikke er oplyst nogen datoer.

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Useful information

  • Who can apply

    Everyone employed in a company that is subject to a collective agreement between Financial Services Union Denmark and FA can use Finanskompetencepuljen

  • What can I apply?

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    You may apply for up to two courses a year, but not for more than 15 ECTS credits in one year. The period starts from the date of your first application.

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