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DE Feature normalization #6
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I added a BN layer to the first layer of the network, so there was no pre-processing of the DE feature. Of course, it is also possible to remove the BN layer and normalize or standardize the data before entering the network |
Alright, thanks. I am trying to replicate the results from the paper and I was not able to get the 79.95 +- 9.02 in the leave-one-subject-out experiment (Table 3 from the paper). |
Hello, can it be possible to get the hyperparameters used during training? |
This is the open-source code of the paper's author, you can check it.
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发送时间: 2023年11月24日(星期五) 凌晨0:37
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主题: Re: [xueyunlong12589/DGCNN] DE Feature normalization (Issue #6)
Hello, can it be possible to get the hyperparameters used during training?
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Thanks! I tried to access here: http://aip.seu.edu.cn/songtengfei but the website does not exist or is inaccessible. Please, if you could provide the training script it would be great! Thanks :) |
Hello,
I would like to know if the features are normalised or scaled or had any other type of preprocessing.
Thanks in advance!
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