Question: 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?
a. Fully connected layers
b. Recurrent layers
c. Convolutional layers
d. Recurrent layers

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