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Yeah, the ML is still in it's infancy, so we're almost in that cold-start right now. To address that, I built in some more randomness into the algorithm so the
by dawsonwhitfield 10y ago
Yeah, the ML is still in it's infancy, so we're almost in that cold-start right now. To address that, I built in some more randomness into the algorithm so the initial logo designs can just get the user thinking and then we can get a better sense of their taste as they favorite logos. Without that randomness, the algorithm tries and fails horribly at creating logos.
I would love to analyze 'good' logos. I would imagine it's realllllyyy hard to analyze actual pixels. We just analyze actions and pre-created objects (ie. a font choice).
- chris_va 10y agoActually, maybe not, if you have a large dataset that you are willing to share.
- ulucs 10y agoAnalyzing pixels is something ML has gotten much better in the near history :) Even if you have a very simple recommendation engine running behind the scenes, you can throw in some convolutions to utilize your data to create a feature space just like word2vec, which would give you great power to generalize. Even putting in pre-trained networks like VGG16 (instead of training one from scratch) could give you a great headstart on this.
- deleted 10y ago[deleted]