Added face recognition example

examples/CMakeLists.txt

@@ -45,6 +45,7 @@ ENDMACRO()
 if (NOT USING_OLD_VISUAL_STUDIO_COMPILER)
    add_example(dnn_metric_learning_on_images_ex)
    add_example(dnn_metric_learning_ex)
+   add_example(dnn_face_recognition_ex)
    add_example(dnn_introduction_ex)
    add_example(dnn_introduction2_ex)
    add_example(dnn_inception_ex)

examples/dnn_metric_learning_on_images_ex.cpp

@@ -212,13 +212,13 @@ int main(int argc, char** argv)
 
     net_type net;
 
-    dnn_trainer<net_type> trainer(net, sgd(0.0005, 0.9));
+    dnn_trainer<net_type> trainer(net, sgd(0.0001, 0.9));
     trainer.set_learning_rate(0.1);
     trainer.be_verbose();
     trainer.set_synchronization_file("face_metric_sync", std::chrono::minutes(5));
     // I've set this to something really small to make the example terminate
     // sooner.  But when you really want to train a good model you should set
-    // this to something like 8000 so training doesn't terminate too early.
+    // this to something like 10000 so training doesn't terminate too early.
     trainer.set_iterations_without_progress_threshold(300);
 
     // If you have a lot of data then it might not be reasonable to load it all