diff --git a/README.md b/README.md
index df6f479..f325262 100644
--- a/README.md
+++ b/README.md
@@ -4,20 +4,20 @@
 
 A simple and scaleable Self Organizing Map implementation written in VHDL. Tested on ARTYA7-35T board.
 
-##Tests
+## Tests
 #### Test with 10 color inputs
 ![](https://github.com/tuhalf/SOMvhdl/Docs/ScreenShots/TenColorsTest.png)
 #### Test with 50 color inputs
 ![](https://github.com/tuhalf/SOMvhdl/Docs/ScreenShots/50ColorsTest.png)
 
-##Features
+## Features
 - Any number of data entries via serial interface. (Limit is set to 254 but can be changed)
 - Results output via serial interface.
 - Flexible iteration and specification counts and map sizes.
 - Non-repetitive psudo random map generation with Attiny85 extention.
 - Test button to get output before training.
 
-##How To Use
+## How To Use
 #### Installation
 You can use Pre-Generated Bitstreams, which are avalible in releases or can generate from source. 
 ##### ! To generate random map to start, you have to connect a 6 bit random bit generator to JA pins. You can use an Attiny85 or an Arduino for this. The necesary codes are in /Tools/RandomInit_attiny85 folder.
@@ -30,7 +30,7 @@ To train inputs from CSV files, you can use the Python code in /Tools/getMap.py
 For visualization, I used the idea from [Isidroc SOMcpp Project][1] Using his R script, you can easily visualize the generated map. You can find the script in /Tools/PlotColorMartix.R 
 ![](https://github.com/tuhalf/SOMvhdl/Docs/ScreenShots/R.png)
 
-##Implementation Summary
+## Implementation Summary
 #### Timing
                     
 WNS  | WHS
@@ -43,5 +43,5 @@ WNS  | WHS
 ## To do
 - Divide map into smaller parts to do parallel processing.
 
-###End
+### End
 [1]: https://github.com/isidroc/SOMcpp "Isidroc's SOMcpp project"
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