On the Google Blog. I recall we had talked about this game as un-solvable, but we were not thinking like a twelve year old.
TensorFlow lends a hand to build a rock-paper-scissors machine Kaz Sato
Developer Advocate, Google Cloud
Editor’s note: It’s hard to think of a more “analog” game than rock-paper-scissors. But this summer, one Googler decided to use TensorFlow, Google’s open source machine learning system, to build a machine that could play rock-paper-scissors. For more technical details and source code, see the original post on the Google Cloud Big Data and Machine Learning Blog.
This summer, my 12-year-old son and I were looking for a science project to do together. He’s interested in CS and has studied programming with Scratch, so we knew we wanted to do something involving coding. After exploring several ideas, we decided to build a rock-paper-scissors machine that detects a hand gesture, then selects the appropriate pose to respond: rock, paper, or scissors. ... "
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