26 lines
823 B
Markdown
26 lines
823 B
Markdown
---
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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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