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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