Is it necessary to normalize the data again after extracting the data from Autoencoder?
<p>I used Autoencoder for pre-training the data, for which I normalize the input data and pass into Autoencoder. As a result autoencoder will end up in reducing the number of features.</p>

<p>Now I want to use the output of autoencoder for a prediction task. For which, I want to pass the output of autoencoder into a fully feed network.</p>

<p>My question is do I need to Normalize the data again before passing the  into fully feed network?</p>