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Davis King 2017-05-05 05:42:13 -04:00
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examples/dnn_face_recognition_ex.cpp
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@ -42,6 +42,7 @@ using namespace std;
// mini-batches were made larger (35x15 instead of 5x5), the iterations without progress // mini-batches were made larger (35x15 instead of 5x5), the iterations without progress
// was set to 10000, the jittering you can see below in jitter_image() was used during // was set to 10000, the jittering you can see below in jitter_image() was used during
// training, and the training dataset consisted of about 3 million images instead of 55. // training, and the training dataset consisted of about 3 million images instead of 55.
// Also, the input layer was locked to images of size 150.
template <template <int,template<typename>class,int,typename> class block, int N, template<typename>class BN, typename SUBNET> template <template <int,template<typename>class,int,typename> class block, int N, template<typename>class BN, typename SUBNET>
using residual = add_prev1<block<N,BN,1,tag1<SUBNET>>>; using residual = add_prev1<block<N,BN,1,tag1<SUBNET>>>;