From 9667c438f5d7ee329bebfbcdc8ef9e94c7ed1118 Mon Sep 17 00:00:00 2001
From: Harsh Jha <75566456+harsh-kr-jha@users.noreply.github.com>
Date: Tue, 22 Dec 2020 09:22:44 +0530
Subject: [PATCH] Just added a missing fullstop.

---
 neuralstyletransfer.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/neuralstyletransfer.md b/neuralstyletransfer.md
index 7badb1c..366c2b8 100644
--- a/neuralstyletransfer.md
+++ b/neuralstyletransfer.md
@@ -18,7 +18,7 @@ The principle of neural style transfer is to define two distance functions, one
 
 How will this be achieved? Gradient Descent! In essence you want to optimise the output image with respect to two distances. If we choose a proper metric all we have to do is descend down the hill and minimise both the content and the style image!
 
-It is best to read the original paper [here](https://arxiv.org/pdf/1508.06576.pdf) to get an undersatnding of the motivation and approach used by the authors (including their choice of metric)
+It is best to read the original paper [here](https://arxiv.org/pdf/1508.06576.pdf) to get an undersatnding of the motivation and approach used by the authors (including their choice of metric).
 
 ## The Procedure