The Conference for Machine Learning Innovation

Christoph Henkelmann

Christoph Henkelmann
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Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Register until August 11:
✓ Save up to $593
✓ ML Intro Day for free
✓ Team discount
Register Now
Join the ML Revolution!
Register until August 11:
✓ Save up to $593
✓ ML Intro Day for free
✓ Team discount
Register Now
Join the ML Revolution!
Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
Register Now
Join the ML Revolution!
Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
Register Now

Christoph Henkelmann

DIVISIO

Christoph Henkelmann holds a degree in Computer Science from the University of Bonn. He is currently working 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 pastime 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

München 2022 Munich 2022 -

Welcome to the first day of the ML Con/ IoT Con and opening keynote: Brains vs. Brawn – Is endless scaling really the way forward?




All talks by Christoph Henkelmann from other editions

Singapore 2021 Singapore 2021 -

An Introduction to Transformers



München 2021 Munich 2021 -

Expert Panel: Natural Language Processing (NLP) — Ready for Primetime?



München 2021 Munich 2021 Berlin 2021 Berlin 2021 -

Efficient Transformers



München 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



München 2019 Munich 2019 -

Panel: Ask the ML Experts



München 2019 Munich 2019 -

TensorFlow Training on the JVM



München 2019 Munich 2019 München 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

Singapore 2021 Singapore 2021 -

An Introduction to Transformers




All talks by Christoph Henkelmann from other editions

München 2022 Munich 2022 -

Welcome to the first day of the ML Con/ IoT Con and opening keynote: Brains vs. Brawn – Is endless scaling really the way forward?



München 2021 Munich 2021 -

Expert Panel: Natural Language Processing (NLP) — Ready for Primetime?



München 2021 Munich 2021 Berlin 2021 Berlin 2021 -

Efficient Transformers



München 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



München 2019 Munich 2019 -

Panel: Ask the ML Experts



München 2019 Munich 2019 -

TensorFlow Training on the JVM



München 2019 Munich 2019 München 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 2021 Berlin 2021 -

Efficient Transformers




All talks by Christoph Henkelmann from other editions

München 2022 Munich 2022 -

Welcome to the first day of the ML Con/ IoT Con and opening keynote: Brains vs. Brawn – Is endless scaling really the way forward?



Singapore 2021 Singapore 2021 -

An Introduction to Transformers



München 2021 Munich 2021 -

Expert Panel: Natural Language Processing (NLP) — Ready for Primetime?



München 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



München 2019 Munich 2019 -

Panel: Ask the ML Experts



München 2019 Munich 2019 -

TensorFlow Training on the JVM



München 2019 Munich 2019 München 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

München 2022 Munich 2022 -

Welcome to the first day of the ML Con/ IoT Con and opening keynote: Brains vs. Brawn – Is endless scaling really the way forward?



Singapore 2021 Singapore 2021 -

An Introduction to Transformers



Berlin 2021 Berlin 2021 -

Efficient Transformers




All talks by Christoph Henkelmann from other editions

München 2021 Munich 2021 -

Expert Panel: Natural Language Processing (NLP) — Ready for Primetime?



München 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



München 2019 Munich 2019 -

Panel: Ask the ML Experts



München 2019 Munich 2019 -

TensorFlow Training on the JVM



München 2019 Munich 2019 München 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



Behind the Tracks