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drop out, learning rate in nn

作者:互联网

  1. use different initial learning rates, says: 1e-3, 1e-4, 1e-5, if 1e-5 is the best one, that means your network is too complicate. you may want reduce to the layers.
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来源: https://blog.csdn.net/seamanj/article/details/103982094