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new 0243dbf R documentation (#10408)
0243dbf is described below
commit 0243dbf04ecf9f0a3308920494ce3e3a44c51adb
Author: Anirudh <2778341+anirudhacha...@users.noreply.github.com>
AuthorDate: Wed Apr 4 17:22:42 2018 -0700
R documentation (#10408)
---
docs/api/julia/index.md | 2 ++
docs/api/r/index.md | 3 ---
2 files changed, 2 insertions(+), 3 deletions(-)
diff --git a/docs/api/julia/index.md b/docs/api/julia/index.md
index edcc145..f4dc0e5 100644
--- a/docs/api/julia/index.md
+++ b/docs/api/julia/index.md
@@ -1,5 +1,7 @@
# MXNet - Julia API
+See the [MXNet Julia Reference
Manual](https://media.readthedocs.org/pdf/mxnet-test/latest/mxnet-test.pdf).
+
MXNet supports the Julia programming language. The MXNet Julia package brings
flexible and efficient GPU
computing and the state-of-art deep learning to Julia.
diff --git a/docs/api/r/index.md b/docs/api/r/index.md
index 8dcb746..15596e6 100644
--- a/docs/api/r/index.md
+++ b/docs/api/r/index.md
@@ -1,7 +1,5 @@
# MXNet - R API
-See the [MXNet R Reference
Manual](https://media.readthedocs.org/pdf/mxnet-test/latest/mxnet-test.pdf).
-
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.
@@ -23,6 +21,5 @@ You can perform tensor or matrix computation in R:
```
## Resources
-* [MXNet R Reference
Manual](https://media.readthedocs.org/pdf/mxnet-test/latest/mxnet-test.pdf)
* [MXNet for R Tutorials](../../tutorials/r/index.html)
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