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Annotation 7103822564620

#deep-learning #keras #lstm #python #sequence

1.4.1 LSTM Weights

A memory cell has weight parameters for the input, output, as well as an internal state that is built up through exposure to input time steps.

Input Weights. Used to weight input for the current time step.

Output Weights. Used to weight the output from the last time step.

Internal State. Internal state used in the calculation of the output for this time step
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Annotation 7583997496588

#deep-learning #keras #lstm #python #sequence

LSTM Weights

A memory cell has weight parameters for the input, output, as well as an internal state

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1.4.1 LSTM Weights A memory cell has weight parameters for the input, output, as well as an internal state that is built up through exposure to input time steps. Input Weights. Used to weight input for the current time step. Output Weights. Used to weight the output from the last time step.

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