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Keras LSTM Layer

Analytics Integrations Deep Learning Keras Layers
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Long-Short Term Memory (LSTM) layer. Corresponds to the LSTM Keras layer .

External resources

  • KNIME Deep Learning Keras Integration

Node details

Input ports
  1. Type: Keras Deep Learning Network
    Keras Network
    The Keras deep learning network to which to add an LSTM layer. The input must have shape [time, features]
  2. Type: PortObject
    Keras Network
    An optional Keras deep learning network providing the first initial state for this LSTM layer. Note that if this port is connected, you also have to connect the second hidden state port. The hidden state must have shape [units], where units must correspond to the number of units this layer uses.
  3. Type: PortObject
    Keras Network
    > An optional Keras deep learning network providing the second initial state for this LSTM layer. Note that if this port is connected, you also have to connect the first hidden state port. The hidden state must have shape [units], where units must correspond to the number of units this layer uses.
Output ports
  1. Type: Keras Deep Learning Network
    Keras Network
    The Keras deep learning network with an added LSTM layer.

Extension

The Keras LSTM Layer node is part of this extension:

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