Recurrent Neural Network
A Recurrent Neural Network (RNN) is a class of artificial neural network where connections between nodes form a directed graph along a temporal sequence, allowing it to exhibit temporal dynamic behavior and process variable-length inputs.
Frequently Asked Questions
What is the main limitation of standard RNNs?▼
The vanishing gradient problem, where gradients decay exponentially when backpropagating through long sequences, causing the network to forget early tokens.
What architectures resolved RNN training limitations?▼
LSTMs (using cell gating states) and subsequently Transformers (using parallel self-attention mechanisms).
Quick Facts
- CategoryNeural Architectures
- Key ApplicationLegacy translation engines, time-series forecasting, and speech processing.
Coverage Trend12 Weeks
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