Search Results for author: Atra Akandeh

Found 5 papers, 0 papers with code

Sentence-Level Sign Language Recognition Framework

no code implementations13 Nov 2022 Atra Akandeh

Connectionist Temporal Classification (CTC) has been used as the classifier level of both models.

Sentence Sign Language Recognition

Slim LSTM networks: LSTM_6 and LSTM_C6

no code implementations18 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.

Simplified Long Short-term Memory Recurrent Neural Networks: part I

no code implementations14 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.

Simplified Long Short-term Memory Recurrent Neural Networks: part III

no code implementations14 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.

Cannot find the paper you are looking for? You can Submit a new open access paper.