We got a machine-learning algorithm to come up with 400 surprisingly plausible names for dogs

Shadoopy. Dango. Ray-Bella. Figgie. If I told you those were names of actual dogs, would you believe me? They’re not. They were generated by a machine-learning algorithm mimicking dog names after it “studied” a list of 81,542 dogs registered in New York City. The experiment, which took just a few hours Saturday, was something I’ve wanted to try since I saw the playful, awesome work of Janelle Shane and her experiments using neural networks to generate paint colors, guinea pig names and Harry Potter fan fiction. I happened to have some free time, and decided to give it a shot. Along the way I: built, in mere minutes, a computer in the cloud powerful enough for machine learning made and played with a recurrent neural network learned a little more…


Link to Full Article: We got a machine-learning algorithm to come up with 400 surprisingly plausible names for dogs

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