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---
title: Infogain Loss Layer
---
# Infogain Loss Layer
* Layer type: `InfogainLoss`
* [Doxygen Documentation](http://caffe.berkeleyvision.org/doxygen/classcaffe_1_1InfogainLossLayer.html)
* Header: [`./include/caffe/layers/infogain_loss_layer.hpp`](https://github.com/BVLC/caffe/blob/master/include/caffe/layers/infogain_loss_layer.hpp)
* CPU implementation: [`./src/caffe/layers/infogain_loss_layer.cpp`](https://github.com/BVLC/caffe/blob/master/src/caffe/layers/infogain_loss_layer.cpp)
* CUDA GPU implementation: [`./src/caffe/layers/infogain_loss_layer.cu`](https://github.com/BVLC/caffe/blob/master/src/caffe/layers/infogain_loss_layer.cu)
A generalization of [MultinomialLogisticLossLayer](layers/multinomiallogisticloss.md) that takes an "information gain" (infogain) matrix specifying the "value" of all label pairs.
Equivalent to the [MultinomialLogisticLossLayer](layers/multinomiallogisticloss.md) if the infogain matrix is the identity.
## Parameters
* Parameters (`Parameter infogain_param`)
* From [`./src/caffe/proto/caffe.proto`](https://github.com/BVLC/caffe/blob/master/src/caffe/proto/caffe.proto):
{% highlight Protobuf %}
{% include proto/InfogainLossParameter.txt %}
{% endhighlight %}
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