See the MXNet R Reference Manual.
MXNet supports the R programming language. The MXNet R package 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 lets you construct and customize the state-of-art deep learning models in R, and apply them to tasks, such as image classification and data science challenges.
You can perform tensor or matrix computation in R:
> require(mxnet) Loading required package: mxnet > a <- mx.nd.ones(c(2,3)) > a [,1] [,2] [,3] [1,] 1 1 1 [2,] 1 1 1 > a + 1 [,1] [,2] [,3] [1,] 2 2 2 [2,] 2 2 2