ImageNet-1k training, we use the script under "example\image-classification", 
training executed on both GPU and CPU, with same hyper-parameters, without 
further tunings, training curses on GPU and CPU pretty aligned. The followings 
are corresponding to ResNet50 v1 and v2.
![image](https://user-images.githubusercontent.com/33112206/45940200-2b180300-c00a-11e8-9494-ad9244bd0c9c.png)
![image](https://user-images.githubusercontent.com/33112206/45940209-35d29800-c00a-11e8-9c51-22600603a9ca.png)



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