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✓10 % Team Discount
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Register until April15:
✓Save up to 310 €
✓ 2-in-1 conference special
✓10 % Team Discount
Register Now
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
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Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
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Register until November 7th:
✓Save up to € 210
✓10% Team Discount
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Register until November 7th:
✓Save up to € 210
✓10% Team Discount
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Andreas Eberle
arconsis IT-Solutions GmbH
Andreas Eberle works at arconsis IT-Solutions GmbH since 2015 as a Software Engineer. After gaining experience in iOS and Android development, he is now focusing on full stack development of algorithms and machine learning techniques for innovative apps. Furthermore, he implemented his experience in image processing using neural networks in several customer projects. The developed solutions where able to be executed on servers, as well as in mobile apps.
This Speaker belongs to the Dieser Speaker gehört zum Programm vom SingaporeSingapore program. Take me to the program of . Hier geht es zum Programm von Munich Munich .
All talks by Andreas Eberle
No current talks available.
All talks by Andreas Eberle from other editions
Singapore 2020 Singapore 2020 -Playing Doom with TF-Agents and TensorFlow 2.0
Berlin 2017 Berlin 2017 -
From zero to Deep Learning enhanced App
All talks by Andreas Eberle
Singapore 2020 Singapore 2020 -Playing Doom with TF-Agents and TensorFlow 2.0
All talks by Andreas Eberle from other editions
Berlin 2017 Berlin 2017 -From zero to Deep Learning enhanced App
All talks by Andreas Eberle
No current talks available.
All talks by Andreas Eberle from other editions
Singapore 2020 Singapore 2020 -Playing Doom with TF-Agents and TensorFlow 2.0
Berlin 2017 Berlin 2017 -
From zero to Deep Learning enhanced App
All talks by Andreas Eberle
Singapore 2020 Singapore 2020 -Playing Doom with TF-Agents and TensorFlow 2.0
All talks by Andreas Eberle from other editions
Berlin 2017 Berlin 2017 -From zero to Deep Learning enhanced App