diff --git a/_posts/2018-4-11-PythonNeuralNet.md b/_posts/2018-4-11-PythonNeuralNet.md
new file mode 100644
index 0000000..8c0997c
--- /dev/null
+++ b/_posts/2018-4-11-PythonNeuralNet.md
@@ -0,0 +1,36 @@
+---
+layout: post
+title:  Python Neural Net
+date:  April 4, 2018
+categories: projects
+description: A basic neural net that recognizes binary patterns
+author: Nick Vaccarello
+author-image: https://avatars1.githubusercontent.com/u/32079670?s=400&u=9056d77d53eb2a07e828fcb70adf0893bbce8f21&v=4
+author-bio: First year Computer Science major, proud memeber of CSH.
+author-email: nickwvac@gmail.com
+author-social:
+  github: https://github.com/nickvac642
+---
+When I first had the idea, I came to the consensus to create it from scratch to the best of my ability. This did involve
+some tutorial work and research on how nerual nets actually worked inculding the complicated mathmatics behind them. I
+started my initial research during the winter break with what a neural net is and how to train them. I researched
+algorithms, such as back-propagation and methods to reduce the cost function such as Gradient Decent and Stochastic 
+Gradient Decent.
+
+My neural net utilizes Stochastic Gradient Decent which is a varient of Gradient decent that takes mini batches of my 
+training data and decides the steps to take to minimize the cost function quickly but less precise than Gradient Decent, 
+but with the size and extent of my neural net that sacrifice is justified.
+
+All Methods aside, my neural net in its current state, has the ability to recognize a binary pattern of the users choosing.
+An example of one would be a list of binary inputs that map to either a 0 or 1 depending on the location of the 0s or 1s
+or even the number of one present in the data, what ever pattern it can train with it and has an average accuracy of about
+97%.
+
+Some difficulties I had along the way included understanding the math, which I still do not know to its fullest extent, and
+figuring out how to back-propagate my error. It took me about two months after research to have a neural net that 
+implements all the neccessary algorithms to effectively train against my data. It wasn't until recently that I carried out
+the ability for user input and testing.
+
+Overall I loved learning about how neural nets tick and I have a plethera of paths I want to take with this project
+such as refactoring it into a Convolutional neural net, having the user enter in their own training data and expected
+value and or reading data in from an outside source.