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Dl4j in the wild

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Adam Gibson
Adam Gibson

Other dl4j in the wild meetup slides (Community updates): https://253bb1695cca2a388faddf6cd4.doorkeeper.jp/events/50918

Datos y análisis
1 de 8
skymind.io | deeplearning.org | gitter.im/deeplearning4j DL4j in the wild
Logistics Self Introductions Open source community Deep learning in Production (SKIL) After event Agenda
https://opensource.com/life/16/3/interview-deeplearning4j-gitter https://gitter.im/deeplearning4j/deeplearning4j Open source community
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
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/ What are people building?
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?
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 Coming up?
help@skymind.io https://gitter.im/deeplearning4j/deeplearning4j/deeplearning4j-jp @agibsonccc Questions?

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