Update README.md

2020-04-22 19:18:15 +02:00
parent 62aebe7116
commit 361d5596c1
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@@ -3,6 +3,21 @@

 Latex code for drawing neural networks for reports and presentation. Have a look into examples to see how they are made. Additionally, lets consolidate any improvements that you make and fix any bugs to help more people with this code.

+## Examples
+
+Following are some network representations:
+
+<p align="center"><img  src="https://user-images.githubusercontent.com/17570785/50308846-c2231880-049c-11e9-8763-3daa1024de78.png" width="85%" height="85%"></p>
+<h6 align="center">FCN-8</h6>
+
+
+<p align="center"><img  src="https://user-images.githubusercontent.com/17570785/50308873-e2eb6e00-049c-11e9-9587-9da6bdec011b.png" width="85%" height="85%"></p>
+<h6 align="center">FCN-32</h6>
+
+
+<p align="center"><img  src="https://user-images.githubusercontent.com/17570785/50308911-03b3c380-049d-11e9-92d9-ce15669017ad.png" width="85%" height="85%"></p>
+<h6 align="center">Holistically-Nested Edge Detection</h6>
+
 ## Getting Started
 1. Install the following packages on Ubuntu.
    * Ubuntu 16.04
@@ -77,19 +92,5 @@ Now, run the program as follows:

    bash ../tikzmake.sh my_arch

-## Examples
-
-Following are some network representations:
-
-<p align="center"><img  src="https://user-images.githubusercontent.com/17570785/50308846-c2231880-049c-11e9-8763-3daa1024de78.png" width="85%" height="85%"></p>
-<h6 align="center">FCN-8</h6>
-
-
-<p align="center"><img  src="https://user-images.githubusercontent.com/17570785/50308873-e2eb6e00-049c-11e9-9587-9da6bdec011b.png" width="85%" height="85%"></p>
-<h6 align="center">FCN-32</h6>
-
-
-<p align="center"><img  src="https://user-images.githubusercontent.com/17570785/50308911-03b3c380-049d-11e9-92d9-ce15669017ad.png" width="85%" height="85%"></p>
-<h6 align="center">Holistically-Nested Edge Detection</h6>