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Recurrent neural network
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Class of artificial neural network
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Long short-term memory
Recurrent neural network architecture
Subject of 7
Multiple Convolutional Recurrent Neural Networks for Fault Identification and Performance Degradation Evaluation of High-Speed Train Bogie
scientific article published on 10 February 2020
DRAW: A Recurrent Neural Network For Image Generation
scholarly article published 20 May 2015
Cortical microcircuits as gated-recurrent neural networks
scientific article published in January 2017
Enhancing Audio Classification Through MFCC Feature Extraction and Data Augmentation with CNN and RNN Models
scientific article published on 31 July 2024
Relational recurrent neural networks
scholarly article by Adam Santoro et al published 2018 in Advances in Neural Information Processing Systems 31
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling
scientific article published on 12 January 2019
Recurrent insertion and duplication generate networks of transposable element sequences in the Drosophila melanogaster genome
scientific article
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Wikipedia

In artificial neural networks, recurrent neural networks (RNNs) are designed for processing sequential data, such as text, speech, and time series, where the order of elements is important. Unlike feedforward neural networks, which process inputs independently, RNNs utilize recurrent connections, where the output of a neuron at one time step is...

Instance of
Machine learning
Neural network (machine learning)
Deep learning
Subclass of
Neural network (machine learning)
References
Wikidata