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This looks really neat and it's definitely fun to play around with. I can't resist playing around with tools like this for a few minutes, but I've never really figured out what they're good for.

What am I supposed to learn from them? What is the actionable information? That's not really a criticism, I just feel like I'm missing something.

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TensorSpace provides structure information and some basic metric for deep learning, and we use these famous network to show what TensorSpace can do, and how to use TensorSpace API to construct networks. For deep learning experts, these famous network's information is really basic, but we hope TensorSpace can help others to understand existing model, or help to present customized models.

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