README.md update: resnet.py contains the flags now (#3485)

official/resnet/README.md

@@ -45,7 +45,7 @@ python imagenet_main.py --data_dir=/path/to/imagenet
 
 The model will begin training and will automatically evaluate itself on the validation data roughly once per epoch.
 
-Note that there are a number of other options you can specify, including `--model_dir` to choose where to store the model and `--resnet_size` to choose the model size (options include ResNet-18 through ResNet-200). See [`imagenet_main.py`](imagenet_main.py) for the full list of options.
+Note that there are a number of other options you can specify, including `--model_dir` to choose where to store the model and `--resnet_size` to choose the model size (options include ResNet-18 through ResNet-200). See [`resnet.py`](resnet.py) for the full list of options.
 
 ### Pre-trained model
 You can download a 190 MB pre-trained version of ResNet-50 achieving 75.3% top-1 single-crop accuracy here: [resnet50_2017_11_30.tar.gz](http://download.tensorflow.org/models/official/resnet50_2017_11_30.tar.gz). Simply download and uncompress the file, and point the model to the extracted directory using the `--model_dir` flag.