Which deep learning layer to use for autoencoder using the deep learning designer?

I am trying to build a stacked autoencoder combined with one-class SVM for anomaly detection. I tried training each autoencoder and stack it together but I figured it would be easier if I do it in a deep learning architecture as I am facing some issue bringing the data after the dimension reduction.

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