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Tensorflow and Keras are versatile machine learning libraries that are specially tuned for deep learning models using many layers. The R ecosystem for these libraries includes many important tools that can make it easier to develop, train, test, and deploy your models. This talk will be a light-on-statistics showcase illustrating the tools and workflows you can use to begin your journey into this exciting field using R.
- developing: tensorflow and keras packages
- training: GPU support, RStudio "jobs", data sources
- testing: saving, loading, and running models
- deploying: CloudML, connect, tfdeploy, mobile devices, browser deployment
Scott Jackson, RStudio Software Engineer
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