We also introduce a technique [https://arxiv.org/abs/1911.11134 ] for training neural networks that are sparse throughout training from a random initialization - no luck required, all initialization “tickets” are winners.pic.twitter.com/fA7VmXrj20
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We also introduce a technique [https://arxiv.org/abs/1911.11134 ] for training neural networks that are sparse throughout training from a random initialization - no luck required, all initialization “tickets” are winners.pic.twitter.com/fA7VmXrj20
Awesome Work DeepMind and Google. Are you going to open source the model?
The models are open sourced: https://github.com/google-research/google-research/tree/master/fastconvnets … The kernels are also open source as part of XNNPACK:https://github.com/google/XNNPACK
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