[incubator-mxnet] branch master updated: Update README.md (#7249)

[jx...@apache.org]

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The following commit(s) were added to refs/heads/master by this push:
     new dcceb2f  Update README.md (#7249)
dcceb2f is described below

commit dcceb2fae6db0fe91ba12430303a0f7d279a8a5b
Author: Kai Li <11...@qq.com>
AuthorDate: Mon Jul 31 08:18:16 2017 +0800

    Update README.md (#7249)
---
 example/image-classification/README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/example/image-classification/README.md b/example/image-classification/README.md
index a008b23..3f514e2 100644
--- a/example/image-classification/README.md
+++ b/example/image-classification/README.md
@@ -2,7 +2,7 @@
 
 This fold contains examples for image classification. The goal of image
 classifcation is to identify the objects contained in images. The following
-[example](http://mxnet.io/tutorials/python/predict_imagenet.html) shows
+[example](http://mxnet.io/tutorials/python/predict_image.html) shows
 recognized object classes with corresponding probabilities using a pre-traind
 model.
 
@@ -102,7 +102,7 @@ We provide multiple pre-trained models on various datasets. Use
 [common/modelzone.py](https://github.com/dmlc/mxnet/blob/master/example/image-classification/common/modelzoo.py)
 to download these models. These models can be used in any front-end language
 MXNet supports. For example,
-[the tutorial](http://mxnet.io/tutorials/python/predict_imagenet.html) shows how
+[the tutorial](http://mxnet.io/tutorials/python/predict_image.html) shows how
 to classify an image with jupyter notebook.
 
 ### ImageNet 1K

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