Recurrent Neural Networks
Multiplicative LSTM
Introduced by Krause et al. in Multiplicative LSTM for sequence modellingA Multiplicative LSTM (mLSTM) is a recurrent neural network architecture for sequence modelling that combines the long short-term memory (LSTM) and multiplicative recurrent neural network (mRNN) architectures. The mRNN and LSTM architectures can be combined by adding connections from the mRNN’s intermediate state $m_{t}$ to each gating units in the LSTM.
Source: Multiplicative LSTM for sequence modelling
Papers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
