| <img src=https://raw.githubusercontent.com/dmlc/dmlc.github.io/master/img/logo-m/mxnetR.png width=155/> Deep Learning for R |
| ========================== |
| [](https://travis-ci.org/dmlc/mxnet) |
| [](http://mxnet.readthedocs.io/en/latest/api/r/index.html) |
| |
| You have found MXNet R Package! The MXNet R packages brings flexible and efficient GPU |
| computing and state-of-art deep learning to R. |
| |
| - It enables you to write seamless tensor/matrix computation with multiple GPUs in R. |
| - It also enables you to construct and customize state-of-art deep learning models in R, |
| and apply them to tasks such as image classification and data science challenges. |
| |
| Sounds exciting? This page contains links to all the related documentation of the R package. |
| |
| Resources |
| --------- |
| * [MXNet R Package Document](http://mxnet.io/get_started/setup.html#install-the-mxnet-package-for-r) |
| - Check this out for detailed documents, examples and installation guides. |
| |
| Installation |
| ------------ |
| |
| For Windows/Mac users, we provide a pre-built binary package using CPU. |
| You can install a weekly updated package directly from the R console: |
| |
| ```r |
| install.packages("drat", repos="https://cran.rstudio.com") |
| drat:::addRepo("dmlc") |
| install.packages("mxnet") |
| ``` |
| |
| To use the GPU version or to use it on Linux, please follow [Installation Guide](http://mxnet.io/get_started/setup.html#installing-mxnet-on-a-gpu) |
| |
| License |
| ------- |
| MXNet R-package is licensed under [Apache-2.0](./LICENSE) license. |
