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skymind.io | deeplearning.org | gitter.im/deeplearning4j DL4j in the wild

Dl4j in the wild

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Page 1: Dl4j in the wild

skymind.io | deeplearning.org | gitter.im/deeplearning4j

DL4j in the wild

Page 2: Dl4j in the wild

Logistics

Self Introductions

Open source community

Deep learning in Production (SKIL)

After event

Agenda

Page 3: Dl4j in the wild

https://opensource.com/life/16/3/interview-deeplearning4j-gitter

https://gitter.im/deeplearning4j/deeplearning4j

Open source community

Page 4: Dl4j in the wild

Infrastructure for USING Deep Learning

“Serving” models to end users

Visualization

Auditing of data flow (Where did that come from?)

Bundled hardware acceleration

The numbers

Page 5: Dl4j in the wild

https://github.com/JavaFXpert/visual-neural-net-server

https://github.com/knime-ip/knip-deeplearning4j

https://www.rapidminerchina.com/en/

https://github.com/marker68/dl4j-customlayers

https://github.com/wmeddie/dl4j-video-viewer

http://www.oracle.com/jp/corporate/features/pr/java-creates-new-big-data-opportunities/index.html

http://recruit.gmo.jp/engineer/jisedai/blog/deeplearning4j/

https://github.com/christopher-beckham/wekaDeeplearning4j/tree/master

https://scholar.google.co.jp/scholar?hl=en&q=deeplearning4j&btnG=&as_sdt=1%2C5&as_sdtp=

What are people building?

Page 6: Dl4j in the wild

Recurrent nets are big

NLP is our biggest use case in research

Lots of java engineers building deep learning apps in production

What are people building?

Page 7: Dl4j in the wild

Reinforcement Learning: https://github.com/deeplearning4j/rl4j

Scala api: https://gist.github.com/agibsonccc/22c51855c1c421521dee2a3e15dd9a7b

Model Zoo

Speed

Keras interop

Flink: http://flink-forward.org/kb_speakers/suneel-marthi/

Docker containers for easier deployment

Usual speed improvements and bug fixes

Coming up?

Page 8: Dl4j in the wild

[email protected]

https://gitter.im/deeplearning4j/deeplearning4j/deeplearning4j-jp

@agibsonccc

Questions?