Small word tweak (#6650)

* Small word tweak

* Few more tweaks

official/resnet/README.md

@@ -35,16 +35,16 @@ Please proceed according to which dataset you would like to train/evaluate on:
 
 ### Setup
 
-You simply need to have the latest version of TensorFlow installed.
-First make sure you've [added the models folder to your Python path](/official/#running-the-models); otherwise you may encounter an error like `ImportError: No module named official.resnet`.
+You need to have the latest version of TensorFlow installed.
+First, make sure [the models folder is in your Python path](/official/#running-the-models); otherwise you may encounter `ImportError: No module named official.resnet`.
 
-Then download and extract the CIFAR-10 data from Alex's website, specifying the location with the `--data_dir` flag. Run the following:
+Then, download and extract the CIFAR-10 data from Alex's website, specifying the location with the `--data_dir` flag. Run the following:
 
 ```bash
 python cifar10_download_and_extract.py --data_dir <DATA_DIR>
 ```
 
-Then to train the model, run the following:
+Then, to train the model:
 
 ```bash
 python cifar10_main.py --data_dir <DATA_DIR>/cifar-10-batches-bin --model_dir <MODEL_DIR>
@@ -52,13 +52,13 @@ python cifar10_main.py --data_dir <DATA_DIR>/cifar-10-batches-bin --model_dir <M
 
 Use `--data_dir` to specify the location of the CIFAR-10 data used in the previous step. There are more flag options as described in `cifar10_main.py`.
 
-To export a `SavedModel` from the trained checkpoint, run the following:
+To export a `SavedModel` from the trained checkpoint:
 
 ```bash
 python cifar10_main.py --data_dir <DATA_DIR>/cifar-10-batches-bin --model_dir <MODEL_DIR> --eval_only --export_dir <EXPORT_DIR>
 ```
 
-Note the `<EXPORT_DIR>` must be present. You might want to run `mkdir <EXPORT_DIR>` beforehand.
+Note: The `<EXPORT_DIR>` must be present. You might want to run `mkdir <EXPORT_DIR>` beforehand.
 
 The `SavedModel` can then be [loaded](https://www.tensorflow.org/guide/saved_model#loading_a_savedmodel_in_python) in order to use the ResNet for prediction.