Dramatic improvements

As I wrote previously, I had run into the limit of how much my neural networks could improve by playing against purely random opponents (or even random opponents with shortcuts, such as always taking winning moves if available) because the signal to noise ratio of those players was simply too low. If a Neural Network … Continue reading Dramatic improvements


C# Wrapper for CNTK Evaluation

CNTK is a great library for using Neural Networks, but the power and flexibility come at a cost of complexity. Sometimes you just want to hand some data to a trained model and get back an answer. I wrote a little wrapper that I use for just such a purpose and thought I'd share it … Continue reading C# Wrapper for CNTK Evaluation