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Another format is onnx [0], where Apple and Goodle don't seem to participate. I don't know the politics behind it but there should be a common format for all libraries/platforms.

[0] https://onnx.ai/

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onnx seems to be an initiative to try to allow Microsoft's and Facebook's AI platforms to compete with Tensorflow.

Considering Tensorflow is more a grab at developer mindshare than an ideal platform [for example, its performance lags by a factor of two behind MXNet and Torch], I think it's a smart plan.

I don't think the last sentence is fair to trensorflow. Torch has been around for ~15 years compared to the 3 of TF. You'd expect TF to catch up in terms of performance in the future.

I think it's more than fair. I'm certain that more developer-hours have been spent on TensorFlow than on Torch.

They very well may catch up, but that doesn't mean that hype and the Google name aren't the reason it's gotten popular.

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