doxygen/sigmoid__layer_8hpp_source.html

 #ifndef CAFFE_SIGMOID_LAYER_HPP_
 #define CAFFE_SIGMOID_LAYER_HPP_

 #include <vector>

 #include "caffe/blob.hpp"
 #include "caffe/layer.hpp"
 #include "caffe/proto/caffe.pb.h"

 #include "caffe/layers/neuron_layer.hpp"

 namespace caffe {

 template <typename Dtype>
 class SigmoidLayer : public NeuronLayer<Dtype> {
  public:
   explicit SigmoidLayer(const LayerParameter& param)
       : NeuronLayer<Dtype>(param) {}

   virtual inline const char* type() const { return "Sigmoid"; }

  protected:
   virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom,
       const vector<Blob<Dtype>*>& top);
   virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom,
       const vector<Blob<Dtype>*>& top);

   virtual void Backward_cpu(const vector<Blob<Dtype>*>& top,
       const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
   virtual void Backward_gpu(const vector<Blob<Dtype>*>& top,
       const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom);
 };

 }  // namespace caffe

 #endif  // CAFFE_SIGMOID_LAYER_HPP_
caffe::SigmoidLayer::Backward_gpu
virtual void Backward_gpu(const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom)
Using the GPU device, compute the gradients for any parameters and for the bottom blobs if propagate_...

caffe
A layer factory that allows one to register layers. During runtime, registered layers can be called b...
Definition: blob.hpp:14

caffe::SigmoidLayer
Sigmoid function non-linearity , a classic choice in neural networks.
Definition: sigmoid_layer.hpp:23

caffe::SigmoidLayer::Backward_cpu
virtual void Backward_cpu(const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom)
Computes the error gradient w.r.t. the sigmoid inputs.
Definition: sigmoid_layer.cpp:25

caffe::SigmoidLayer::type
virtual const char * type() const
Returns the layer type.
Definition: sigmoid_layer.hpp:28

caffe::NeuronLayer
An interface for layers that take one blob as input ( ) and produce one equally-sized blob as output ...
Definition: neuron_layer.hpp:19

caffe::SigmoidLayer::Forward_cpu
virtual void Forward_cpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Definition: sigmoid_layer.cpp:14

caffe::Blob
A wrapper around SyncedMemory holders serving as the basic computational unit through which Layers...
Definition: blob.hpp:24

caffe::SigmoidLayer::Forward_gpu
virtual void Forward_gpu(const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top)
Using the GPU device, compute the layer output. Fall back to Forward_cpu() if unavailable.