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described in Kaiming He et al, "Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification", arxiv 2015. Conflicts: src/caffe/proto/caffe.proto
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Doesn't relu_layer already have negative_slope, which could be the same as the 'a' parameter in the paper? |
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@pannous The differences between them are that
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I see, thanks. Nice PR |
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Modified to allow in-place computation. |
tnarihi
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Replaced by #1940 |
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I implemented parameterized ReLU unit, which is described in http://arxiv.org/abs/1502.01852 . In my caffe fork, I tried RReLU for CIFAR10 quick examples and the performance was improved about 3%. I am happy If it is worth merging. I don't care even if it is not because I implemented it just for my purpose.