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Use shutdown(prompt=FALSE)
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tutorials/deeplearning/README.md

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@@ -549,5 +549,5 @@ Stratified sampling of the validation dataset can help with scoring on datasets
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### All done, shutdown H2O
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```r
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h2o.shutdown()
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h2o.shutdown(prompt=FALSE)
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```

tutorials/deeplearning/deeplearning.R

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#### More information can be found in the [H2O Deep Learning booklet](http://h2o.ai/resources/), in our [H2O SlideShare Presentations](http://www.slideshare.net/0xdata/presentations), our [H2O YouTube channel](https://www.youtube.com/user/0xdata/), as well as on our [H2O Github Repository](https://github.com/h2oai/h2o-3/), especially in our [H2O Deep Learning R tests](https://github.com/h2oai/h2o-3/tree/master/h2o-r/tests/testdir_algos/deeplearning), and [H2O Deep Learning Python tests](https://github.com/h2oai/h2o-3/tree/master/h2o-py/tests/testdir_algos/deeplearning).
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#
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#### All done, shutdown H2O
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h2o.shutdown()
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h2o.shutdown(prompt=FALSE)

tutorials/deeplearning/deeplearning.Rmd

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@@ -549,5 +549,5 @@ Stratified sampling of the validation dataset can help with scoring on datasets
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### All done, shutdown H2O
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```{r Shutdown}
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h2o.shutdown()
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h2o.shutdown(prompt=FALSE)
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```

tutorials/deeplearning/deeplearning.md

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@@ -549,5 +549,5 @@ Stratified sampling of the validation dataset can help with scoring on datasets
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### All done, shutdown H2O
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```r
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h2o.shutdown()
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h2o.shutdown(prompt=FALSE)
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```

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