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I we’re going to let the recurrent neural network learn the time series and we're gantlet the DSN learn the reconstruction complexity basically so we’re going to do is going to take the recurrent network we're going to have it outputs be the hidden layers for the GSN they can 300-101 imagine the output from their current network I calculating hints for that your dinner was not a coder 300-101 and having that the northern I don't go to reconstruct but the original input should be based on the evidence I'm so that way at the recurrent network only has two learn how to help but the complexity of the representation that yes and is learning and that complexity is a lot lower than.
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