Built a quick (slow) framework to track board state and proposed illegal and legal moves for every game, and save out the game history for any game where the illegal move percentage spiked to higher than 98%. The vast majority…

So, with my new softmax back propagation sorted, I was excited to see how my model would perform, especially since softmax with MSE was my first hypothesis. Well, MSE was a disaster, although I didn’t push it too far. Softmax with…

Note: This post is the ultimate result of my quest for how to do softmax backpropagation in my hand-coded model for this project. The actual math for softmax back propagation is not something that was specifically covered in my coursework….

…and it is not lost on me now that I may have had a problem with my gradients which I did not check… –  Me, five days ago After taking a brief hiatus from my checkers AI to do some…

A couple of days ago, I got all the machinery of my network in place and did my first test. I decided that for starters, using a network I wasn’t even sure worked for a problem I’ve never tackled before…

Having established in my previous post that softmax looks like the way to go for my final activation layer it’s time to think about the cost function. And this one is trickier. Hypothesis: Use Mean Squared Error Cost Function The…

Back in this post I alluded to the fact that I hadn’t yet written out the approach I’m going to use to calculate costs not just for a single output as in Andrej Karpathy’s Pong from Pixels but from 48 outputs representing…

This morning, I completed the “plumbing” for checkers. Specifically, with all the game mechanics in place, I now have a framework that will allow two “players” (a red player and a black player) to play against each other ad infinitum…

There’s a gap  in the courses I can take right now, so I have about two weeks to push forward with checkers and I started again on that yesterday. As I was starting to put together some of the classes…