minor markdown fixes

README.md

@@ -1,33 +1,30 @@
+# NNet
+
 [![Build Status](https://travis-ci.org/dougszumski/NNet.svg?branch=master)](https://travis-ci.org/dougszumski/NNet)
 
 This is a C implementation of the neural network for handwriting recognition
-outlined in the free online book by Michael Nielsen:
-
-http://neuralnetworksanddeeplearning.com/
+outlined in the [free online book by Michael Nielsen.](http://neuralnetworksanddeeplearning.com/)
 
 It was written as a learning exercise, and is essentially a port of Michael's
-Python implementation here:
-
-https://github.com/mnielsen/neural-networks-and-deep-learning
-
-To use it:
+Python implementation [here.](https://github.com/mnielsen/neural-networks-and-deep-learning)
 
-> Install the GNU Scientic library, GCC, G++
+## Build instructions
 
-> Download the training data:
+* Install the GNU Scientic library, GCC, G++
 
-http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
-http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
+* Download the training data:
+  * http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
+  * http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
 
-> Unzip the data into ./dat
+* Unzip the data into ./dat
 
-> Build using cmake eg. from the project directory:
-    > cd build
-    > cmake ..
-    > make
+* Build using cmake eg. from the project directory:
+    * cd build
+    * cmake ..
+    * make
 
-> Run from the project folder:
-    > Tests with ./tests
-    > Train the network with ./run
+* Run from the project folder:
+    * Tests with ./tests
+    * Train the network with ./run
 
-> Read the book!
+* Read the book!