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Dataiku DSS: [](https://hub.docker.com/r/neomatrix369/dataiku-dss) | Grakn: [](https://hub.docker.com/r/neomatrix369/grakn) | Jupyter-Java: [](https://hub.docker.com/r/neomatrix369/jupyter-java) | MLPMNist using DL4J: [](https://hub.docker.com/r/neomatrix369/dl4j-mnist-single-layer) | Zeppelin: [](https://hub.docker.com/r/neomatrix369/zeppelin)
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#### Business / General / Semi-technical
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-[Extract business value from DS](https://www.forbes.com/sites/oracle/2018/12/05/how-to-extract-business-value-from-data-science-its-all-about-the-teamwork/#6ad2f23a651c) ([Tweet](https://twitter.com/java/status/1070610044926930944))
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# MLPMNist Single Layer
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MLPMNist using DL4J: [](https://hub.docker.com/r/neomatrix369/dl4j-mnist-single-layer)
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---
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Open built-in Terminal from the Android Studio or IntelliJ IDEA.
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If you prefer, use the terminal app on your computer.
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In the terminal window, `cd` to the project root directory `MLPMnist` if not already in.
Model file created and seeked for in the respective cases, is called `mlpmnist-single-layer.pb`.
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### Run app in docker container
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```
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./runMLPMnist.sh
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./runDockerContainer.sh
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```
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At the prompt in the container, do the same as mentioned in section [Run app local](#run-app-local).
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## Credits
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This example has been inspired by the [MLPMNist example](https://github.com/deeplearning4j/dl4j-examples/tree/master/dl4j-examples/src/main/java/org/deeplearning4j/examples/feedforward/mnist) example from DL4J. Credits to the original authors of this example on https://github.com/deeplearning4j/dl4j-examples.
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This example has been inspired by the [MLPMNist example](https://github.com/deeplearning4j/dl4j-examples/tree/master/dl4j-examples/src/main/java/org/deeplearning4j/examples/feedforward/mnist) example from DL4J. Credits to the original authors of this example on https://github.com/deeplearning4j/dl4j-examples.
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---
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Back to [main page (table of contents)](../../../../README.md#awesome-ai-ml-dl-)
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