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What is a common architectural choice for the encoder network in Variational Autoencoders ( VAEs ) to capture complex dependencies in the input data? a

What is a common architectural choice for the encoder network in Variational Autoencoders

(

VAEs

)

to capture complex dependencies in the input data?

.

Fully connected layers

.

Recurrent layers

.

Convolutional layers

.

Recurrent layers

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