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tensorflow-learn

Building Machine Learning Projects with TensorFlow book pdf:

链接:http://pan.baidu.com/s/1hsQqZLM 密码:nasm

https://github.com/wangdxh/Building-Machine-Learning-Projects-with-TensorFlow/

vgg data download  

http://www.vlfeat.org/matconvnet/models/beta16/imagenet-vgg-verydeep-19.mat

face recognization

  • 使用face_camera先进行不同的人脸采集,每次采集先根据提示输入不同人的名称,然后采集一会,会根据采集的人数,生成输出的种类。

  • 第一次运行face,会进行train,也是根据人数的目录去进行face train,会将训练结果保存到checkpoint下

  • 第二次运行face,进行test,会运行摄像头采集图像,前面采集过的人,会将其名称标注在头像上

问题

  • weight 和 bias 的初始化好像有些问题,随机初始化会造成在某些情况下cost很大,梯度下不去,导致train结果很差.

  • 输出的种类数目是根据采集的人数去动态变化,但是没有给陌生人预留class,所以结果肯定在某个采集的人中,区别不出陌生人来

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