Merge pull request #229 from livc/fix_English_version_error

fix display error

03.image_classification/README.en.md

@@ -234,10 +234,8 @@ First, we use a VGG network. Since the image size and amount of CIFAR10 are rela
 
     2.1. First, define a convolution block or conv_block. The default convolution kernel is 3x3, and the default pooling size is 2x2 with stride 2. Dropout specifies the probability in dropout operation. Function `img_conv_group` is defined in `paddle.networks` consisting of a series of `Conv->BN->ReLu->Dropout` and a `Pooling`.
 
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     2.2. Five groups of convolutions. The first two groups perform two convolutions, while the last three groups perform three convolutions. The dropout rate of the last convolution in each group is set to 0, which means there is no dropout for this layer.
 
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     2.3. The last two layers are fully-connected layers of dimension 512.
 
 3. Define Classifier

03.image_classification/index.en.html

@@ -276,10 +276,8 @@ First, we use a VGG network. Since the image size and amount of CIFAR10 are rela
 
     2.1. First, define a convolution block or conv_block. The default convolution kernel is 3x3, and the default pooling size is 2x2 with stride 2. Dropout specifies the probability in dropout operation. Function `img_conv_group` is defined in `paddle.networks` consisting of a series of `Conv->BN->ReLu->Dropout` and a `Pooling`.
 
-
     2.2. Five groups of convolutions. The first two groups perform two convolutions, while the last three groups perform three convolutions. The dropout rate of the last convolution in each group is set to 0, which means there is no dropout for this layer.
 
-
     2.3. The last two layers are fully-connected layers of dimension 512.
 
 3. Define Classifier