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Confusion about the dimension of latent vectors #249

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LiJiahao-Alex opened this issue May 30, 2024 · 0 comments
Open

Confusion about the dimension of latent vectors #249

LiJiahao-Alex opened this issue May 30, 2024 · 0 comments

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@LiJiahao-Alex
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Hi.

There is one output in the decoder class:
print("Working with z of shape {} = {} dimensions.".format(self.z_shape, np.prod(self.z_shape)))
Here the letter z seems to represent the latent vector by convention. But actually in the encoder class h stands for latent vector.
What I don't understand is: why is z the bottleneck, but h is used as the latent vector?

Looking forward to your response
Best

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