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I have a very limited dataset and have used 80% of it to pre-train an autoencoder.
Now, I attached the enconder part to a SVM. In order to train the SVM, is ok to train it using the exactly same (80%) dataset?
I think you should be fine. The auto-encoder only performs a pre-selection of the features, so it has nothing to do with the actual model. Just make sure you never mix data to train and to test/validate a model!
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