The document discusses the open-source community of DeepLearning4J, highlighting its tools and infrastructure for deploying deep learning models. It mentions various projects and applications being developed, particularly in natural language processing and reinforcement learning. Additionally, it addresses upcoming events and resources for collaboration and support within the community.

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

2. Logistics
Self Introductions
Open source community
Deep learning in Production (SKIL)
After event
Agenda

3. https://opensource.com/life/16/3/interview-deeplearning4j-gitter
https://gitter.im/deeplearning4j/deeplearning4j
Open source community

4. 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

5. 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?

6. 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?

7. 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?

8. help@skymind.io
https://gitter.im/deeplearning4j/deeplearning4j/deeplearning4j-jp
@agibsonccc
Questions?