[GitHub] piiswrong closed pull request #8984: Updates for R readme and example

[GitBox <gi...@apache.org>]

piiswrong closed pull request #8984: Updates for R readme and example
URL: https://github.com/apache/incubator-mxnet/pull/8984
 
 
   

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diff --git a/R-package/README.md b/R-package/README.md
index c39b2b101d..e21d6b17dc 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 4874ad5354..cf69379d39 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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