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What do these Matlab LSTM parameters means and used for

조회 수: 1 (최근 30일)
Ahmad Kamal Bin Mohd Nor
Ahmad Kamal Bin Mohd Nor 2019년 10월 10일
답변: Divya Gaddipati 2019년 10월 22일
Hi there
Been trying to understand these parameter in LSTM (what are they used for);
numHiddenUnits
fullyConnectedLayers(Output Size) --> what is Output Size for a sequence to sequence regression?

답변 (1개)

Divya Gaddipati
Divya Gaddipati 2019년 10월 22일
Hi,
numHiddenUnits -
  • This corresponds to the amount of information remembered between time steps (the hidden state). The hidden state can contain information from all previous time steps, regardless of the sequence length.
  • If the number of hidden units is too large, then the layer might overfit to the training data.
Output Size in fullyConnectedLayer -
  • In case of sequence to sequence regression, it refers to the length of the output sequence.
  • In case of sequence classification, it refers to the number of classes.

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