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cs.NE2019
Slim LSTM networks: LSTM_6 and LSTM_C6
Atra Akandeh, Fathi M. Salem
We have shown previously that our parameter-reduced variants of Long Short-Term Memory (LSTM) Recurrent Neural Networks (RNN) are comparable in performance to the standard LSTM RNN…
cs.NE2019
Performance of Three Slim Variants of The Long Short-Term Memory (LSTM) Layer
Daniel Kent, Fathi M. Salem
The Long Short-Term Memory (LSTM) layer is an important advancement in the field of neural networks and machine learning, allowing for effective training and impressive inference p…