diff --git a/README.md b/README.md
index a68a0a2..1e570a2 100644
--- a/README.md
+++ b/README.md
@@ -3,8 +3,8 @@
 This repository contains PyTorch code for training and visualising (through heatmaps) Recurrent Neural Networks.
 
 ## Recurrent Neural Networks
-Recurrent Nets are Neural Network architecure for modelling sequences. The code in the repository is about the 2 main variants of RNN :- **LSTM and GRU**. <br>
-The working of RNN can be summarized in the following gif
+Recurrent Nets are Neural Network architecure for modelling sequences. The code in the repository is about the 2 main variants of RNN : **LSTM and GRU**. <br>
+The working of RNN can be summarized in the following gif :-
 <img src="assets/rnn.gif" height="400" width="500"/>
 
 The input to the RNN in our case is vectorized representation of characters.
@@ -37,7 +37,7 @@ The simple folder contains code for implementing an RNN from scratch (without us
 In all three repositories run 
 > python train.py --path/to/data
 
-Check the argument parser code to know more about the arguments available
+Check the argument parser code to know more about the arguments available.
 
 ## Visualization
 
@@ -51,4 +51,4 @@ Then run
 
 Please see the argument parsers as well as the files that are being loaded and saved!! (if you are still facing problems file an issue here (code and installation related issues only)).
 
-This code has been used for [ __this__ ](https://euler16.github.io/cs/2017/07/01/playing-with-rnn.html) blog post.
\ No newline at end of file
+This code has been used for [ __this__ ](https://euler16.github.io/cs/2017/07/01/playing-with-rnn.html) blog post.