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05/08/2020
Sentiment Analysis Using Simplified Long Short-term Memory Recurrent Neural Networks
LSTM or Long Short Term Memory Networks is a specific type of Recurrent ...
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01/18/2019
Slim LSTM networks: LSTM_6 and LSTM_C6
We have shown previously that our parameter-reduced variants of Long Sho...
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01/02/2019
Performance of Three Slim Variants of The Long Short-Term Memory (LSTM) Layer
The Long Short-Term Memory (LSTM) layer is an important advancement in t...
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12/29/2018
SLIM LSTMs
Long Short-Term Memory (LSTM) Recurrent Neural networks (RNNs) rely on g...
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07/14/2017
Simplified Long Short-term Memory Recurrent Neural Networks: part III
This is part III of three-part work. In parts I and II, we have presente...
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07/14/2017
Simplified Long Short-term Memory Recurrent Neural Networks: part II
This is part II of three-part work. Here, we present a second set of int...
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07/14/2017
Simplified Long Short-term Memory Recurrent Neural Networks: part I
We present five variants of the standard Long Short-term Memory (LSTM) r...
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01/20/2017
Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks
The paper evaluates three variants of the Gated Recurrent Unit (GRU) in ...
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01/12/2017
Simplified Minimal Gated Unit Variations for Recurrent Neural Networks
Recurrent neural networks with various types of hidden units have been u...
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01/12/2017
Simplified Gating in Long Short-term Memory (LSTM) Recurrent Neural Networks
The standard LSTM recurrent neural networks while very powerful in long-...
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12/29/2016