Update README.md

README.md

@@ -5,7 +5,7 @@ In this repository we implement neural nets which use differentially private sto
 
 To test the accuracy of a model saved in the folder models one can call test_model_accuracy.py with the following parameters:
 1. name of the dataset the model was trained on (mnist or fashion_mnist)
-2. name of the file where the model is saved (file assumed to lie in directory models)
+2. name of the file where the model is saved (file assumed to be located at the directory models)
 
 If you want to recreate the results you can call mnist.py with the following parameters:
 1. name of the dataset the model was trained on (mnist or fashion_mnist)