Face_Age_Gender(age_deploy.prototxt,res10_300x300_ssd_iter_140000.caffemodel)

[{"title":"（ 8 个子文件 97.84MB ） Face_Age_Gender(age_deploy.prototxt,res10_300x300_ssd_iter_140000.caffemodel)","children":[{"title":"opencv_face_detector_uint8.pb <span style='color:#111;'> 2.60MB </span>","children":null,"spread":false},{"title":"res10_300x300_ssd_iter_140000.caffemodel <span style='color:#111;'> 10.17MB </span>","children":null,"spread":false},{"title":"gender_deploy.prototxt <span style='color:#111;'> 2.25KB </span>","children":null,"spread":false},{"title":"CVPR2015_CNN_Age and Gender Classification using Convolutional Neural Networks.pdf <span style='color:#111;'> 6.02MB </span>","children":null,"spread":false},{"title":"age_deploy.prototxt <span style='color:#111;'> 2.25KB </span>","children":null,"spread":false},{"title":"gender_net.caffemodel <span style='color:#111;'> 43.53MB </span>","children":null,"spread":false},{"title":"opencv_face_detector.pbtxt <span style='color:#111;'> 34.09KB </span>","children":null,"spread":false},{"title":"age_net.caffemodel <span style='color:#111;'> 43.55MB </span>","children":null,"spread":false}],"spread":true}]