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    Squeeze nets have shown great promise, especially in reducing the model size so they can be deployed on embedded systems.

    That plus the fact that the network was developed by a Chinese AI startup (and not by DeepMind or OpenAI) makes it very interesting.

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      why does it matter? chinese AI startup or not?

      PS: SqueezeNets were introduced by DeepScale.ai Ref: https://github.com/DeepScale/SqueezeNet

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      Woah, this is cool! Do put up more blogs for other domains of computer vision as well. Would love to keep in trends with the best methods. Will come quite handy when i stumble on some revelant task to do.