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It's effective, for one. I was surprised how good it looks. Color matching is a lot harder than it seems when you're generating palettes. "AI" may seem cheesy,
by sillysaurusx 6y ago
It's effective, for one. I was surprised how good it looks. Color matching is a lot harder than it seems when you're generating palettes.
"AI" may seem cheesy, but you have to remember that in the future, lots of "AI programming" is just going to become "programming." This is clearly an effective, simple way of solving the problem, and requires no clever or common algorithms.
Also, what the hell is this file? Haha. https://raw.githubusercontent.com/dmarman/dmarman.github.io/d26dec580a4f89860fbc4873fbda9f7574dff530/src/models/model.js https://raw.githubusercontent.com/dmarman/dmarman.github.io/...
This is awesome. The model outputs were turned into a single line of javascript which then gets evaluated by multiplying the color against all the weights. That wasn't what I was expecting, and I'm totally stealing this technique.
- manceraio 6y agoyep, this line of js was rendered using Brain.js https://github.com/BrainJS/brain.js#standalone-function https://github.com/BrainJS/brain.js#standalone-function
- kuu 6y ago> Also, what the hell is this file? Haha. https://raw.githubusercontent.com/dmarman/dmarman.github.io/.. https://raw.githubusercontent.com/dmarman/dmarman.github.io/.... I may be wrong, but it seems the weights of a trained NN
- ggggtez 6y ago> gets evaluated by multiplying the color against all the weights. That wasn't what I was expecting This is literally just the definition of a 1 layer neural network.