zachgk commented on issue #16010: DropConnect Layer URL: https://github.com/apache/incubator-mxnet/issues/16010#issuecomment-533298429 The tensorflow workaround you gave is to call dropout on the weight layer and then multiply by the probability for the dropout layer to undo the weight change. This should work in MXNet and other frameworks as well
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