The Conference for Machine Learning Innovation

Christoph Henkelmann

Christoph Henkelmann
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Join the ML Revolution!
Register until May 20:
✓ Save up to 220 €
✓ 2-in-1 conference special
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until August 12:
✓ML Intro Day for free
✓Save up to $380
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Join the ML Revolution!
Register until August 12:
✓ML Intro Day for free
✓Save up to $380
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now

Christoph Henkelmann

DIVISIO

Christoph Henkelmann holds a degree in Computer Science from the University of Bonn. He currently works at DIVISIO, an AI company from Cologne, where he is CTO and co-founder. At DIVISIO, he combines practical knowledge from two decades of server and mobile development with proven AI and ML technology. In his free time he grows cacti, practices the piano, and plays video games.

Take me to the full program of Zum vollständigen Programm von Munich Munich .

Take me to the full program of Zum vollständigen Programm von Singapore Singapore .

Take me to the full program of Zum vollständigen Programm von Berlin Berlin .

This Speaker Dieser Speaker belongs to the gehört zum Programm von MunichMunich, SingaporeSingapore and  und BerlinBerlin program. Take me to the current program of . Hier geht es zum aktuellen Programm von Munich Munich , Singapore Singapore or oder Berlin Berlin .

All talks by Christoph Henkelmann

munich 2021 munich 2021 -

Efficient Transformers



munich 2021 munich 2021 -

Unsupervised Learning with Autoencoders




All talks by Christoph Henkelmann from other editions

Munich 2020 Munich 2020 online edition 2020 online edition 2020 -

An Introduction to Natural Language Generation



Singapore 2020 Singapore 2020 -

Using Neural Networks for Natural Language Processing



Berlin 2019 Berlin 2019 -

From Paper to Product – How we implemented BERT



Munich 2019 Munich 2019 -

Panel: Ask the ML Experts



Munich 2019 Munich 2019 -

TensorFlow Training on the JVM



Berlin 2018 Berlin 2018 -

An Introduction to Clustering Algorithms



Munich 2018 Munich 2018 -

Panel: Road to Succeed – Ask the Experts



Munich 2018 Munich 2018 -

Preparing Text Input for Machine Learning



Berlin 2017 Berlin 2017 -

Enterprise Tensorflow: Running Tensorflow Models in a Java Environment



All talks by Christoph Henkelmann

Singapore 2020 Singapore 2020 -

Using Neural Networks for Natural Language Processing




All talks by Christoph Henkelmann from other editions

munich 2021 munich 2021 -

Efficient Transformers



Munich 2020 Munich 2020 online edition 2020 online edition 2020 -

An Introduction to Natural Language Generation



Berlin 2019 Berlin 2019 -

From Paper to Product – How we implemented BERT



Munich 2019 Munich 2019 -

Panel: Ask the ML Experts



Munich 2019 Munich 2019 -

TensorFlow Training on the JVM



Munich 2019 Munich 2019 munich 2021 munich 2021 -

Unsupervised Learning with Autoencoders



Berlin 2018 Berlin 2018 -

An Introduction to Clustering Algorithms



Munich 2018 Munich 2018 -

Panel: Road to Succeed – Ask the Experts



Munich 2018 Munich 2018 -

Preparing Text Input for Machine Learning



Berlin 2017 Berlin 2017 -

Enterprise Tensorflow: Running Tensorflow Models in a Java Environment



All talks by Christoph Henkelmann

Berlin 2019 Berlin 2019 -

From Paper to Product – How we implemented BERT




All talks by Christoph Henkelmann from other editions

munich 2021 munich 2021 -

Efficient Transformers



Munich 2020 Munich 2020 online edition 2020 online edition 2020 -

An Introduction to Natural Language Generation



Singapore 2020 Singapore 2020 -

Using Neural Networks for Natural Language Processing



Munich 2019 Munich 2019 -

Panel: Ask the ML Experts



Munich 2019 Munich 2019 -

TensorFlow Training on the JVM



Munich 2019 Munich 2019 munich 2021 munich 2021 -

Unsupervised Learning with Autoencoders



Berlin 2018 Berlin 2018 -

An Introduction to Clustering Algorithms



Munich 2018 Munich 2018 -

Panel: Road to Succeed – Ask the Experts



Munich 2018 Munich 2018 -

Preparing Text Input for Machine Learning



Berlin 2017 Berlin 2017 -

Enterprise Tensorflow: Running Tensorflow Models in a Java Environment



All talks by Christoph Henkelmann

munich 2021 munich 2021 -

Efficient Transformers



Singapore 2020 Singapore 2020 -

Using Neural Networks for Natural Language Processing



Berlin 2019 Berlin 2019 -

From Paper to Product – How we implemented BERT



munich 2021 munich 2021 -

Unsupervised Learning with Autoencoders




All talks by Christoph Henkelmann from other editions

Munich 2020 Munich 2020 online edition 2020 online edition 2020 -

An Introduction to Natural Language Generation



Munich 2019 Munich 2019 -

Panel: Ask the ML Experts



Munich 2019 Munich 2019 -

TensorFlow Training on the JVM



Berlin 2018 Berlin 2018 -

An Introduction to Clustering Algorithms



Munich 2018 Munich 2018 -

Panel: Road to Succeed – Ask the Experts



Munich 2018 Munich 2018 -

Preparing Text Input for Machine Learning



Berlin 2017 Berlin 2017 -

Enterprise Tensorflow: Running Tensorflow Models in a Java Environment



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