ARC-faceloss I changed the loss of the original lenet5 handwirtten Network:softmax loss.I use the Arc-loss replace of it. I havenot finished my training,I only trained 220 steps as fllows,but tha acc on test data is very high 98.93%,which is higher than the original softmax loss 98.57% and the cos-loss 98.95%.It is very fast. After 10 training step(s), loss on test data is 1.98712,acc is 0.772333 After 20 training step(s), loss on test data is 0.786744,acc is 0.903 After 30 training step(s), loss on test data is 0.599833,acc is 0.917667 After 40 training step(s), loss on test data is 0.305006,acc is 0.958333 After 50 training step(s), loss on test data is 0.280962,acc is 0.962333 After 60 training step(s), loss on test data is 0.114537,acc is 0.977667 After 70 training step(s), loss on test data is 0.16493,acc is 0.977333 After 80 training step(s), loss on test data is 0.141905,acc is 0.978333 After 90 training step(s), loss on test data is 0.144544,acc is 0.978 After 100 training step(s), loss on test data is 0.117581,acc is 0.981 After 110 training step(s), loss on test data is 0.107124,acc is 0.983 After 120 training step(s), loss on test data is 0.0971116,acc is 0.982333 After 130 training step(s), loss on test data is 0.0867986,acc is 0.984333 After 140 training step(s), loss on test data is 0.0783345,acc is 0.984667 After 150 training step(s), loss on test data is 0.0639797,acc is 0.987333 After 160 training step(s), loss on test data is 0.0580864,acc is 0.990667 After 170 training step(s), loss on test data is 0.0584896,acc is 0.991 After 180 training step(s), loss on test data is 0.061686,acc is 0.989 After 190 training step(s), loss on test data is 0.0629968,acc is 0.990333 After 200 training step(s), loss on test data is 0.0669648,acc is 0.989 After 210 training step(s), loss on test data is 0.074284,acc is 0.987333 After 220 training step(s), loss on test data is 0.0624132,acc is 0.989333