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I do not know if I should abs the stddev component of latent space or not... I think it breaks the loss function if it is negative?
# kl divergence: latent_loss = -0.5 * K.mean(1 + stddev - K.square(mean) - K.exp(stddev), axis=-1)
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I do not know if I should abs the stddev component of latent space or not... I think it breaks the loss function if it is negative?
The text was updated successfully, but these errors were encountered: