docs/tutorial/layers/softmaxwithloss.md
SoftmaxWithLoss./include/caffe/layers/softmax_loss_layer.hpp./src/caffe/layers/softmax_loss_layer.cpp./src/caffe/layers/softmax_loss_layer.cuThe softmax loss layer computes the multinomial logistic loss of the softmax of its inputs. It's conceptually identical to a softmax layer followed by a multinomial logistic loss layer, but provides a more numerically stable gradient.
SoftmaxParameter softmax_param)./src/caffe/proto/caffe.proto:{% highlight Protobuf %} {% include proto/SoftmaxParameter.txt %} {% endhighlight %}
LossParameter loss_param)./src/caffe/proto/caffe.proto:{% highlight Protobuf %} {% include proto/LossParameter.txt %} {% endhighlight %}