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Hi guys!
I'm a student interested in facial emotion detection and currently, trying various type of network.
I've used emotionNet by entering "load("models/net_emotion.mat")", and it loaded a emotionNet(which is a DAGNetwork or something... I have no idea).
I tried this one but, this is not that good network cuz whenever I take my selfie as a input, this network classifies it always angry.
So is there any other better emotion classfying network I could get?
Thanks for any recommendation!
Jack

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Aditya Patil
Aditya Patil 2020-8-21

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While you can try out various other networks, another way to improve accuracy is to use transfer learning using a dataset of your images. The get started with transfer learning documentation provides details on how to do this.
For example, you can import a pretrained network, and then fine tune it using transfer learning.

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