Added information for network overview

README.md

@@ -5,9 +5,11 @@ This network was trained on the cityscapes dataset for autonomous vehicles. It a
 Results On Validation Set
 
 ![](/Images/Results_Generic.png)
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 Results On Generic Image
 
 The complete list of relevant classes is detailed [here](https://github.com/mcordts/cityscapesScripts/blob/master/cityscapesscripts/helpers/labels.py).
 
+The network architecture for semantic segmentation can be seen below, and involves a downsampling and upsampling phase. Google's [mobilenetV2](https://arxiv.org/abs/1801.04381) was leveraged for the encoding aspect of this network, while the decoding makes use of [pix2pix](https://phillipi.github.io/pix2pix/). 
 ![](/Images/NetworkOverview.png)
+
+Mobilenet was selected for the encoding as it has accurate feature extraction while being very lightweight. This makes it an excellent choice for mobile devices, but was chosen for this project as the end goal for this was always to be deployed on a peripheral device of an autonomous vehicle.