It’s been a long and exhaustive road to get to here. As you may recall, I’ve given several updates already on my progress and I THINK I’ve finally hit success. In fact, I know I have, the problem now? Well what the neural net saw to make the predictions is a mystery to me, so I don’t know why or how it works… yet.
For those of you following along, I’ve been trying to crack a predictive model using some novel (read: super secret PhD work) neural data. It’s been a journey and I’ve trained and tested about a dozen or so models, with varying success. Things have been flying pretty smooth the past few weeks as I try to create the best model I could possibly create. Unfortunately, technology had other plans for me.
Well it’s been an interesting experience. I’ve been working hard to train a binary classifier to predict the two classes in my data. There has been a lot of ups and downs and more importantly, there has been some progress. It isn’t perfect, but it’s a start, so let’s look at what I’ve got so far and where I’m headed.
I don’t normally leave my computer on 24 hours a day, but it has been hard a work, so it hasn’t been off in days. Training a model can take some time, as I am finding out and while I’ve made progress on the resulting model, it’s still not where I want it. Let’s talk about what has been going on.
There I was patiently waiting for my data to finish being processed, an hour, two, time kept moving as did the little animation letting me know that the algorithm was still doing its thing. Then it was done, I had a new, more complete model and it was glorious… until it wasn’t.
Today is going to be a long day. I’m training a model using some data I’ve collected. Now, depending on your background that sentence either meant something to you or was complete gibberish. In either case, let’s talk about what I’m doing, even though I can’t get into specifics about my data.