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| author | Aravindh Mahendran <aravindh@aravindh-VirtualBox.(none)> | 2014-02-16 10:43:34 -0500 |
|---|---|---|
| committer | Evan Shelhamer <shelhamer@imaginarynumber.net> | 2014-02-26 13:03:39 -0800 |
| commit | 8448708ba37c920ae6b126a3b6f0f4353e848b01 (patch) | |
| tree | c817e9a0b5d7fd6dd288e04b790c5ca61893f520 /include | |
| parent | f0b76ea244a07dd258671015d0e944da5deac7c6 (diff) | |
| download | caffeonacl-8448708ba37c920ae6b126a3b6f0f4353e848b01.tar.gz caffeonacl-8448708ba37c920ae6b126a3b6f0f4353e848b01.tar.bz2 caffeonacl-8448708ba37c920ae6b126a3b6f0f4353e848b01.zip | |
Added tanh activation function layer.
Diffstat (limited to 'include')
| -rw-r--r-- | include/caffe/vision_layers.hpp | 17 |
1 files changed, 17 insertions, 0 deletions
diff --git a/include/caffe/vision_layers.hpp b/include/caffe/vision_layers.hpp index 82e52cd5..47909a21 100644 --- a/include/caffe/vision_layers.hpp +++ b/include/caffe/vision_layers.hpp @@ -44,6 +44,23 @@ class ReLULayer : public NeuronLayer<Dtype> { const bool propagate_down, vector<Blob<Dtype>*>* bottom); }; +template <typename Dtype> +class TanHLayer : public NeuronLayer<Dtype> { + public: + explicit TanHLayer(const LayerParameter& param) + : NeuronLayer<Dtype>(param) {} + + protected: + virtual void Forward_cpu(const vector<Blob<Dtype>*>& bottom, + vector<Blob<Dtype>*>* top); + virtual void Forward_gpu(const vector<Blob<Dtype>*>& bottom, + vector<Blob<Dtype>*>* top); + + virtual Dtype Backward_cpu(const vector<Blob<Dtype>*>& top, + const bool propagate_down, vector<Blob<Dtype>*>* bottom); + virtual Dtype Backward_gpu(const vector<Blob<Dtype>*>& top, + const bool propagate_down, vector<Blob<Dtype>*>* bottom); +}; template <typename Dtype> class SigmoidLayer : public NeuronLayer<Dtype> { |