Update training.rst

Author: nathanaherne

docs/source/training.rst

@@ -66,7 +66,7 @@ Here's an explanation for each of the folders/filer shown in the above tree:
 - ``images``: This folder contains a copy of all the images in our dataset, as well as the respective ``*.xml`` files produced for each one, once ``labelImg`` is used to annotate objects.
 
     * ``images\train``: This folder contains a copy of all images, and the respective ``*.xml`` files, which will be used to train our model.
-    * ``images\test``: This folder contains a copy of all images, and the respective ``*.xml`` files, which will be used to train our model.
+    * ``images\test``: This folder contains a copy of all images, and the respective ``*.xml`` files, which will be used to test our model.
 
 - ``pre-trained-model``: This folder will contain the pre-trained model of our choice, which shall be used as a starting checkpoint for our training job.
 - ``training``: This folder will contain the training pipeline configuration file ``*.config``, as well as a ``*.pbtxt`` label map file and all files generated during the training of our model.
@@ -723,4 +723,4 @@ Once your training job is complete, you need to extract the newly trained infere
 
 .. code-block:: posh
     
-    python export_inference_graph.py --input_type image_tensor --pipeline_config_path training/ssd_inception_v2_coco.config --trained_checkpoint_prefix training/model.ckpt-13302 --output_directory trained-inference-graphs/output_inference_graph_v1.pb
+    python export_inference_graph.py --input_type image_tensor --pipeline_config_path training/ssd_inception_v2_coco.config --trained_checkpoint_prefix training/model.ckpt-13302 --output_directory trained-inference-graphs/output_inference_graph_v1.pb