The intention of this blog is to share the information I have learned at graduate school as well as to continue learning after. I will walk through project I have completed at school as well as other interesting projects I have seen.
If there are any papers that are released that I find interesting I will share my thoughts and try to reproduce their results. Some are easier than others as quite a few new papers have related GitHub repositories.
Schedule: I am trying to create new content every Wednesday at 8am central time
Blog Link: https://eckronsoftware.wordpress.com/
Black Scholes: This folder is where I have the notebook for using a Monte Carlo Simulation with the Black Scholes equation to figure out the optimal option premium.
CodeCamp/PythonApplication1: This is my python application that I used for the 2017 Iowa Code Camp.
Discretization: This is a project I created to work through some discretization samples.
ImageRecon: This is for a future blog post about image recognition. I am trying to use a pre-trained NN and add in some fish pictures.
ImageReconAndroid: Same as above but this is the code to run on Android.
KArmedBandit: This was a project to demonstrate a k-armed bandit.
TensorFlow: This folder contains all of my TensorFlow related work.