| <img src=https://raw.githubusercontent.com/dmlc/dmlc.github.io/master/img/logo-m/mxnetR.png width=155/> Deep Learning for R |
| ========================== |
| |
| You have found MXNet R Package! The MXNet R packages brings flexible and efficient GPU |
| computing and state-of-the-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-the-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. |
| |
| |
| Installation |
| ------------ |
| |
| We provide pre-built binary packages for Windows/OSX users. |
| You can install the CPU package directly from the R console: |
| |
| ```r |
| cran <- getOption("repos") |
| cran["dmlc"] <- "https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/CRAN/" |
| options(repos = cran) |
| install.packages("mxnet") |
| ``` |
| |
| To use the GPU version or to use it on Linux, please follow [Installation Guide](http://mxnet.io/install/index.html) |
| |
| License |
| ------- |
| MXNet R-package is licensed under [Apache-2.0](./LICENSE) license. |
