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What is Gated Recurrent Unit about?
Gated Recurrent Units (GRUs) are an advanced type of Recurrent Neural Network designed to efficiently process sequential data, introduced by Cho et al. in 2014. They utilize a simplified architecture with two main gates, the update gate and the reset gate, to manage information flow and mitigate the vanishing gradient problem, making them effective for tasks like natural language processing and time-series forecasting. GRUs offer computational efficiency compared to Long Short-Term Memory (LSTM) networks by
- Author
- sajal kar
- Language
- EN