深层的网络由于良好的学习能力，近年来在目标识别领域取得巨大成功，基于此，提出两个非常深的网络架构，DeepID3，这两个架构分别基于VGG net和GoogLeNet通过改进使之用于人脸识别。Joint face identification-verification supervisory signals are added to both intermediate and
final feature extraction layers during training.
深层的网络由于良好的学习能力，近年来在目标识别领域取得巨大成功，基于此，提出两个非常深的网络架构，DeepID3，这两个架构分别基于VGG net和GoogLeNet通过改进使之用于人脸识别。Joint face identification-verification supervisory signals are added to both intermediate and
final feature extraction layers during training.
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