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