Encoding-based memory for recurrent neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.04.051
Abstract: Abstract Learning to solve sequential tasks with recurrent models requires the ability to memorize long sequences and to extract task-relevant features from them. In this paper, we study memorization from the point of view of… read more here.
Keywords: encoding based; memory; neural networks; based memory ... See more keywords
An Interpretation of Long Short-Term Memory Recurrent Neural Network for Approximating Roots of Polynomials
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3157306
Abstract: This paper aims to present a flexible method for interpreting the Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) for the relational structure between the roots and the coefficients of a polynomial. A database is first… read more here.
Keywords: neural network; network; term memory; memory recurrent ... See more keywords