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--- |
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title: BNLL Layer |
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--- |
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# BNLL Layer |
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* Layer type: `BNLL` |
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* [Doxygen Documentation](http://caffe.berkeleyvision.org/doxygen/classcaffe_1_1BNLLLayer.html) |
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* Header: [`./include/caffe/layers/bnll_layer.hpp`](https://github.com/BVLC/caffe/blob/master/include/caffe/layers/bnll_layer.hpp) |
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* CPU implementation: [`./src/caffe/layers/bnll_layer.cpp`](https://github.com/BVLC/caffe/blob/master/src/caffe/layers/bnll_layer.cpp) |
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* CUDA GPU implementation: [`./src/caffe/layers/bnll_layer.cu`](https://github.com/BVLC/caffe/blob/master/src/caffe/layers/bnll_layer.cu) |
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The `BNLL` (binomial normal log likelihood) layer computes the output as log(1 + exp(x)) for each input element x. |
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## Parameters |
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No parameters. |
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## Sample |
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layer { |
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name: "layer" |
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bottom: "in" |
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top: "out" |
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type: BNLL |
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} |
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