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Recurrent neural network
Class of artificial neural network
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π Topics
- Bio-inspired computing (1)
- Neural network interpretability (1)
- Recurrent neural networks (1)
π·οΈ Keywords
Bio-inspired models (1) Β· Neural networks (1) Β· Interpretability (1) Β· Chemical synapses (1) Β· Recurrent neural networks (1) Β· Liquid capacitance (1) Β· arXiv (1)
π Key Information
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 fed back as input to the network at the next time step. This enables RNNs to capture temporal dependencies and patterns within sequences.
π° Related News (1)
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πΊπΈ Synaptic Activation and Dual Liquid Dynamics for Interpretable Bio-Inspired Models
arXiv:2602.13017v1 Announce Type: cross Abstract: In this paper, we present a unified framework for various bio-inspired models to better understand ...
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People and organizations frequently mentioned alongside Recurrent neural network:
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Chemical synapse Β· 1 shared articles -
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Neural network Β· 1 shared articles
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Interpretability Β· 1 shared articles