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result.txt
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result.txt
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Experiments of gender recognition
-------------------------------------------------
test1
cnn_model.net_paper
Adam(0.0005)
data argumation: bright/contrast/flip
dropout rate: 0.5
1277/1472=0.8675
-------------------------------------------------
test2
cnn_model.net_paper
Adam(0.0005)
data argumation: roate/bright/contrast/flip/
dropout rate: 0.5
steps 9k
1262/1472=0.8573
------------------------------------------------
test3
cnn_model.net_paper
Adam(0.0005)
data argumation: roate/bright/contrast/flip/
dropout rate: 0.5
l2 regularization: 0.0001
steps 9k
1262/1472=0.8573
------------------------------------------------
test4
net resnet
Adam(0.0005)
data argumation: roate/bright/contrast/flip/
steps 8k
1257/1472=0.85394
------------------------------------------------
test5
cnn_model.net_paper
Adam(0.0005)
data argumation: roate/bright/contrast/flip/
activation: selu
steps 8k
1290/1472=0.876
-------------------------------------------------
test6
cnn_model.net_paper
Adam(0.0005)
data argumation: roate/bright/contrast/flip/
activation: leaky relu
steps 11k
1284/1472= 0.872
-------------------------------------------------
test7
vgg face, fine tune
Adam(0.005)
data argumation: roate/bright/contrast/flip/
easy to get 0.91
single crop: 0.91; 5-crop/10-crop: 0.914
-------------------------------------------------