no code implementations • 13 Nov 2022 • Atra Akandeh
Connectionist Temporal Classification (CTC) has been used as the classifier level of both models.
no code implementations • 18 Jan 2019 • 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 on the MNIST dataset.
no code implementations • 14 Jul 2017 • Atra Akandeh, Fathi M. Salem
We present five variants of the standard Long Short-term Memory (LSTM) recurrent neural networks by uniformly reducing blocks of adaptive parameters in the gating mechanisms.
no code implementations • 14 Jul 2017 • Atra Akandeh, Fathi M. Salem
In this part III paper, we present and evaluate two new LSTM model variants which dramatically reduce the computational load while retaining comparable performance to the base (standard) LSTM RNNs.
no code implementations • 14 Jul 2017 • Atra Akandeh, Fathi M. Salem
This is part II of three-part work.