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If I understand correctly, the encoder is there to implement the Variational Inference term for enhancing entropy of the feature space. The latent z variable is represented by diagonal Gaussian.
However, in the model.py code, I see a sequence of CNNs defined. I am not able to make the connection, how you implement this VI using a chain of CNNs?
The text was updated successfully, but these errors were encountered:
If I understand correctly, the encoder is there to implement the Variational Inference term for enhancing entropy of the feature space. The latent z variable is represented by diagonal Gaussian.
However, in the model.py code, I see a sequence of CNNs defined. I am not able to make the connection, how you implement this VI using a chain of CNNs?
The text was updated successfully, but these errors were encountered: