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Ahmed Ahmed Elsaid
Researcher at Rochester Institute of Technology
Publications - 3
Citations - 66
Ahmed Ahmed Elsaid is an academic researcher from Rochester Institute of Technology. The author has contributed to research in topics: Recurrent neural network & Neuroevolution. The author has an hindex of 2, co-authored 3 publications receiving 53 citations.
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Investigating recurrent neural network memory structures using neuro-evolution
TL;DR: In this paper, a new algorithm, Evolutionary eXploration of Augmenting Memory Models (EXAMM), which is capable of evolving recurrent neural networks (RNNs) using a wide variety of memory structures, such as Δ-RNN, GRU, LSTM, MGU and UGRNN cells.
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Investigating RNN Memory using Neuro-Evolution: Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution
TL;DR: In this paper, a new algorithm, Evolutionary eXploration of Augmenting Memory Models (EXAMM), which is capable of evolving recurrent neural networks (RNNs) using a wide variety of memory structures, such as Delta-RNN, GRU, LSTM, MGU and UGRNN cells.
Posted Content
Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution
TL;DR: In this article, a new algorithm, Evolutionary eXploration of Augmenting Memory Models (EXAMM), which is capable of evolving recurrent neural networks (RNNs) using a wide variety of memory structures, such as Delta-RNN, GRU, LSTM, MGU and UGRNN cells.