Created
April 19, 2019 08:41
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Using He initialization for conv model
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| def weights_init(m): | |
| classname = m.__class__.__name__ | |
| if classname.find('Conv') != -1: | |
| nn.init.normal_(m.weight.data, 0.0, 0.02) | |
| elif classname.find('BatchNorm') != -1: | |
| nn.init.normal_(m.weight.data, 1.0, 0.02) | |
| nn.init.constant_(m.bias.data, 0) |
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