Update README.md

README.md

@@ -6,7 +6,10 @@ tags:
 
 ## Model description
 
-The aim of this work is to map a simple distribution - which is easy to sample and whose density is simple to estimate - to a more complex one learned from the data. This kind of generative model is also known as "normalizing flow". The latent distribution we wish to map to in this example is Gaussian.
+This model demonstrates real-valued non-volume preserving (real NVP) transformations, a
+tractable yet expressive approach to modeling high-dimensional data.
+
+This model is used to map a simple distribution - which is easy to sample and whose density is simple to estimate - to a more complex one learned from the data. This kind of generative model is also known as "normalizing flow". The latent distribution we wish to map to in this example is Gaussian. 
 
 ## Training and evaluation data