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Deep Learning World Munich 2019

The event's mission is to foster breakthroughs in the value-driven operationalization of established deep learning methods.

Deep Learning World will cover a wide range of deep learning application areas. Some of the topics covered at the last edition were self-driving cars, computer vision, speech recognition, entertainment, fake news detection, malware detection, fraud detection, insurance risk and underwriting, agriculture, manufacturing, image resolution enhancement, and detecting developmental delay in children.

Deep learning ended the AI winter and promised to fulfil the vision of general artificial intelligence. However, as more and more companies are trying to apply deep learning and to incorporate AI solutions into their businesses, the main questions and challenges become more and more clear: When to use what neural network typology for what kind of use case? How to interpret the models – especially regarding GDPR? How to avoid unintended discrimination and critical faults? How to effectively scale and efficiently manage the AI solutions? The Deep Learning World conference, which has its premier in Berlin this year, will provide you with concrete answers – by leading business and industry experts from the emerging and exciting field of deep learning.

Join the industry leaders in Munich to learn more about the commercial deployment of deep learning!

URL:
Website: https://go.evvnt.com/320121-0?pid=4870

Time: 9:00 am - 6:00 pm

Prices:
Super Early Bird (until 1st February): EUR 795.0,
Early Bird (until 5th April): EUR 895.0,
Normal Price: EUR 1095.0,
On Site Price: EUR 1195.0

Category: Conferences | Engineering and Technology | Information Technologies


Event Date: 6 May 2019 - 7 May 2019 Contact Person: Rising Media
Venue: Holiday Inn Munich - City Centre, Hochstrasse 3, Munchen, 81669 Email:
Country: Germany Tel: +4981515566045

Registration Website: http://go.evvnt.com/320121-2?pid=4870

Submitted by Love Evvnt, Evvnt on Monday, 6 May 2019 at 9:00 AM
Category: Business
 
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