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on 02-Dec-2025 (Tue)

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Flashcard 7767067069708

Tags
#deep-learning #keras #lstm #python #sequence
Question
The Stacked LSTM is a model that has [...] hidden LSTM layers
Answer
multiple

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The Stacked LSTM is a model that has multiple hidden LSTM layers

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Annotation 7773944941836

#recurrent-neural-networks #rnn

softmax and the output of the softmax layer at any given time step t is a k-tuple for the probability distribution across the k neurons of the output layer. We set the number of neurons k in the softmax layer to reflect the transaction counts observed across all individuals in the training data.

This way transaction counts are treated like discrete variable.
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softmax and the output of the softmax layer at any given time step t is a k-tuple for the probability distribution across the k neurons of the output layer. We set the number of neurons k in the softmax layer to reflect the transaction counts observed across all individuals in the training data: as is the case with any ‘‘forward-looking” approach, the model can only learn from events that are observed at some point during estimation; i.e., if in the calibration period individua

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Annotation 7773948611852

[unknown IMAGE 7101515435276] #has-images #recurrent-neural-networks #rnn
This input signal then propagates through a series of intermediate layers including a specialized LSTM, or Long Short-Term Memory RNN neural network component.
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ing inputs). These variable inputs enter the model through dedicated input layers at the top of the model’s architecture and are combined by simply concatenating them into a single long vector. <span>This input signal then propagates through a series of intermediate layers including a specialized LSTM, or Long Short-Term Memory RNN neural network component. <span>

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