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Annotation 7747233254668

#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.

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Internal State.

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

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