Post

It's alive! Input layer at the top, output layer at the bottom. Connection colour represents positive (green) or negative (orange) weight, thickness and opacity represents how large that weight is. Really neat to see the training process strengthening specific connections in the network.

Maxime

@maxime.bsky.social

28 Dec 2024

what's the training process behind this (i.e. what is backing those numbers/what are you training for) 👀?

Sam Rose

@samwho.dev

Behind the scenes I’ve ported github.com/karpathy/mic... to TypeScript and made a few modifications to make it easier to hook up to a visualisation. The actual data I’m running through it is just made up BMI data, and it’s training to recognise people in the “normal” BMI category.

28/12/24, 11:24 am0 reposts2 likes

Sam Rose

@samwho.dev

28 Dec 2024

I don’t think I’ll use the BMI example in any post, it’s not a great demonstration of the tech because it’s just a formula. But it was easy to fake and it’s a small number of input parameters, so it’s helping me develop and test my code.