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# System prepended metadata

title: 特徵擷取網路架構

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# 特徵擷取網路架構

![](https://i.imgur.com/7tbER6i.jpg)

先固定encoder，train discriminator和classsifer，然後再train encoder，藉由min||v1-v2||，再back回encoder更新參數

資料夾：先放人，再放速度

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![](https://i.imgur.com/FEiQZJE.jpg)

* 先train discriminator和action classifier，後再train encoder和classifier
* encoder出來的會是vector，上半
* 
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categorical_crossentropy + mse[1,0.05]

![](https://i.imgur.com/nqKE8vn.png)

categorical_crossentropy + kullback_leibler_divergence[1,0.05]
![](https://i.imgur.com/CtV5rX0.png)

categorical_crossentropy + mse[1,0.003]

![](https://i.imgur.com/LirIIeQ.png)

origin+offset latent_dim=200
![](https://i.imgur.com/c3gOGXH.png)
