[incubator-mxnet] branch master updated: Updates for R readme and example (#8984)

[jx...@apache.org]

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jxie pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git


The following commit(s) were added to refs/heads/master by this push:
     new e692d58  Updates for R readme and example (#8984)
e692d58 is described below

commit e692d5854f563a5eeedbdc1f30182cfbee7d6099
Author: Aston Zhang <as...@amazon.com>
AuthorDate: Fri Dec 8 16:48:23 2017 -0800

    Updates for R readme and example (#8984)
---
 R-package/README.md             | 4 ++--
 example/captcha/mxnet_captcha.R | 8 ++++----
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/R-package/README.md b/R-package/README.md
index c39b2b1..e21d6b1 100644
--- a/R-package/README.md
+++ b/R-package/README.md
@@ -2,10 +2,10 @@
 ==========================
 
 You have found MXNet R Package! The MXNet R packages brings flexible and efficient GPU
-computing and state-of-art deep learning to R.
+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-art deep learning models 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.
diff --git a/example/captcha/mxnet_captcha.R b/example/captcha/mxnet_captcha.R
index 4874ad5..cf69379 100644
--- a/example/captcha/mxnet_captcha.R
+++ b/example/captcha/mxnet_captcha.R
@@ -32,8 +32,8 @@ data.shape <- c(80, 30, 3)
 batch_size <- 40
 
 train <- mx.io.ImageRecordIter(
-  path.imgrec     = "train.rec",
-  path.imglist    = "train.lst",
+  path.imgrec     = "captcha_train.rec",
+  path.imglist    = "captcha_train.lst",
   batch.size      = batch_size,
   label.width     = 4,
   data.shape      = data.shape,
@@ -41,8 +41,8 @@ train <- mx.io.ImageRecordIter(
 )
 
 val <- mx.io.ImageRecordIter(
-  path.imgrec     = "test.rec",
-  path.imglist    = "test.lst",
+  path.imgrec     = "captcha_test.rec",
+  path.imglist    = "captcha_test.lst",
   batch.size      = batch_size,
   label.width     = 4,
   data.shape      = data.shape,

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