[mlpack-git] (blog) master: new blog post (5b5d162)

[gitdub at mlpack.org]

Repository : https://github.com/mlpack/blog
On branch  : master
Link       : https://github.com/mlpack/blog/compare/dd60d818074a4148528fda3f94d126dcae600f64...5b5d1622fd7e305aaaceabe0799b4a63570f4f3a

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commit 5b5d1622fd7e305aaaceabe0799b4a63570f4f3a
Author: Bang Liu <bang3 at ualberta.ca>
Date:   Mon Aug 22 11:32:17 2016 -0600

    new blog post


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5b5d1622fd7e305aaaceabe0799b4a63570f4f3a
 content/blog/BangGsocSummary.md | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/content/blog/BangGsocSummary.md b/content/blog/BangGsocSummary.md
index 2afb0b1..c74152e 100644
--- a/content/blog/BangGsocSummary.md
+++ b/content/blog/BangGsocSummary.md
@@ -5,7 +5,7 @@ Author: Bang Liu
 
 In this blog, we summarize our project and our current contributions to mlpack project. I wish this will be helpful to anyone who is interested in what we have done, how we did, how to use it, and how to contribute to it if interested.
 
-## Brief Summary
+### Brief Summary
 
 Our project is aiming to implement multiple Neuralevolution algorithms, including CNE, NEAT and HyperNEAT (perhaps implementing more in the future).
 
@@ -20,8 +20,9 @@ Currently, the CNE algorithm can be merged after we adjust some coding styles. T
 
 Before my works being merged to the mlpack repository, you can check the most updated implementations under my github account:
 
-- Neural Evolution module code:[NE source code](https://github.com/BangLiu/mlpack/tree/ne/src/mlpack/methods/ne)
-- Neural Evolution tests code:[NE test code](https://github.com/BangLiu/mlpack/blob/ne/src/mlpack/tests/ne_test.cpp)
+[1] Neural Evolution module code:[NE source code](https://github.com/BangLiu/mlpack/tree/ne/src/mlpack/methods/ne)
+
+[2] Neural Evolution tests code:[NE test code](https://github.com/BangLiu/mlpack/blob/ne/src/mlpack/tests/ne_test.cpp)
 
 After they are merged, they can be found in the same directory under mlpack repository.
 
@@ -29,9 +30,8 @@ After they are merged, they can be found in the same directory under mlpack repo
 
 The first algorithm is Conventional Neural Evolution (CNE) algorithm. The main reference papers for the implementation of CNE includes:
 
-[1] "[Training Feedforward Neural Networks Using Genetic Algorithms](http://www.ijcai.org/Proceedings/89-1/Papers/122.pdf)"
-
-[2] "[Evolving Artificial Neural Networks](http://www.cs.bham.ac.uk/~axk/evoNN.pdf)"
+- "[Training Feedforward Neural Networks Using Genetic Algorithms](http://www.ijcai.org/Proceedings/89-1/Papers/122.pdf)"
+-  "[Evolving Artificial Neural Networks](http://www.cs.bham.ac.uk/~axk/evoNN.pdf)"
 
 Generally, different neural evolution algorithms are evolving a number of neural networks iteratively to find out a siutable neural network for solving specific tasks. So we first define some classes to represent key concepts in neural evolution algorithms. Including: