ThomasDelteil commented on a change in pull request #14179: Fix READMEs for 
examples
URL: https://github.com/apache/incubator-mxnet/pull/14179#discussion_r257342466
 
 

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 File path: example/gluon/super_resolution/README.md
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+# Superresolution
+
+This example trains a convolutional neural network to enhance the resolution 
of images (also known as superresolution). 
+The script takes the following commandline arguments:
+
+```
+Super-resolution using an efficient sub-pixel convolution neural network.
+
+optional arguments:
+  -h, --help            show this help message and exit
+  --upscale_factor UPSCALE_FACTOR
+                        super resolution upscale factor. default is 3.
+  --batch_size BATCH_SIZE
+                        training batch size, per device. default is 4.
+  --test_batch_size TEST_BATCH_SIZE
+                        test batch size
+  --epochs EPOCHS       number of training epochs
+  --lr LR               learning Rate. default is 0.001.
+  --use-gpu             whether to use GPU.
+  --seed SEED           random seed to use. Default=123
+  --resolve_img RESOLVE_IMG
+                        input image to use
+```
+
+Once the network is trained you can use the following command to increase the 
resolution of your image:
 
 Review comment:
   add the resolved image in the README.md and store it in dmlc/web-data

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