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Annotation 7797059226892

#deep-learning #keras #lstm #python #sequence
I would encourage you to brainstorm many different framings of your sequence prediction problem and network configurations, test and select those models that appear most promising with regard to prediction erro
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e steps). Training efficiency is more important than the influence of long-term internal state and a batch size of 128 samples was used, after which network weights are updated and state reset. <span>I would encourage you to brainstorm many different framings of your sequence prediction problem and network configurations, test and select those models that appear most promising with regard to prediction error <span>

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Flashcard 7797061324044

Tags
#deep-learning #keras #lstm #python #sequence
Question
Scale if in Doubt
You probably do need to rescale your input and output variables. If in doubt, at least [...] your data.
Answer
normalize

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Scale if in Doubt You probably do need to rescale your input and output variables. If in doubt, at least normalize your data.

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