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I am working on a text based autoencoder, and was happy to see I can feed a variable length text sequence into my network and use SequenceLastLayer[] after a GatedRecurrentLayer[] to only get the final output vector. However, is there a function in the neural network framework that allows me to take a fixed length vector and, using a GatedRecurrentLayer[], create a variable length text sequence until a stop character is reached? Thanks!

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  • $\begingroup$ One thought I had is just to have a maximal length output sequence that the network can handle, and I could generate a stop character so that, at some point in the output, I would know where the intended output stops, but I'm not sure how this could be trained as efficiently in this way. $\endgroup$ – Jmeeks29ig Apr 14 at 19:43

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