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on 25-May-2025 (Sun)

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Annotation 7703059107084

#deep-learning #keras #lstm #python #sequence
they found that the depth of the network was more important than the number of memory cells in a given layer to model skill
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they found that the depth of the network was more important than the number of memory cells in a given layer to model skill. Stacked LSTMs are now a stable technique for challenging sequence prediction problems. A Stacked LSTM architecture can be defined as an LSTM model comprised of multiple LSTM layers </s

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Flashcard 7703060942092

Tags
#recurrent-neural-networks #rnn
Question
Even advanced BTYD models can be too [...] to adequately capture diverse customer behaviors in different contexts and the derived forecasts present customer future in an oftentimes too simplified way
Answer
restrictive

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Even advanced BTYD models can be too restrictive to adequately capture diverse customer behaviors in different contexts and the derived forecasts present customer future in an oftentimes too simplified way

Original toplevel document (pdf)

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