Update README.md

Author: ujjwalkarn

README.md

@@ -1,11 +1,18 @@
 This repo contains several Python tutorials for data analysis tasks.
 
-##General Stuff:
+##General Stuff
 - [Quick Reference to Python](http://www.dataschool.io/python-quick-reference/)
 
-##Machine Learning:
-- [Linear Regression in Python](http://nbviewer.ipython.org/github/justmarkham/DAT4/blob/master/notebooks/08_linear_regression.ipynb), [Blog Post](http://www.dataschool.io/linear-regression-in-python/)
+##Machine Learning
 - [Machine Learning with scikit learn](http://www.dataschool.io/machine-learning-with-scikit-learn/)
-- [Logistic Regression with scikit learn](http://www.dataschool.io/logistic-regression-in-python-using-scikit-learn/)
 
+##Linear Regression
+- [Linear Regression in Python](http://nbviewer.ipython.org/github/justmarkham/DAT4/blob/master/notebooks/08_linear_regression.ipynb), [Blog Post](http://www.dataschool.io/linear-regression-in-python/)
+
+##Logistic Regression
+- [Logistic Regression with scikit learn](http://www.dataschool.io/logistic-regression-in-python-using-scikit-learn/)
 
+##Neural Networks
+- [Implementing a Neural Network from scratch](http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/), [Code](https://github.com/dennybritz/nn-from-scratch)
+- [Speeding up your Neural Network with Theano and the gpu](http://www.wildml.com/2015/09/speeding-up-your-neural-network-with-theano-and-the-gpu/), [Code](https://github.com/dennybritz/nn-theano)
+- [Recurrent Neural Net Tutorial Part 1](http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/), [Part 2] (http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-2-implementing-a-language-model-rnn-with-python-numpy-and-theano/), [Code](https://github.com/dennybritz/rnn-tutorial-rnnlm/)