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SAE part may be wrong. about dec-keras HOT 2 CLOSED

xifengguo avatar xifengguo commented on June 29, 2024
SAE part may be wrong.

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Comments (2)

XifengGuo avatar XifengGuo commented on June 29, 2024

@Yu-Qing-Wang I didn't mean to re-implement the DEC by exactly following the settings in the paper.

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smiler96 avatar smiler96 commented on June 29, 2024

The SAE (stacked autoencoder) part should be trained layer-wise, which means the next autoencoder starts to be trained after the previous one is trained. From origin paper:

After training of one layer, we use its output h as the input to train the n

However from the output of model structure image (autoencoders.png), the encoders are connected to each other and then follows a number of decoders and there is only one training phase over the whole "autoencoder".

does this setting really make a difference ?

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