What is GRU in Natural Language Processing?
An example of an AI chatbot conversation about GRU in NLP.
What is GRU in Natural Language Processing?
GRU stands for Gated Recurrent Unit, a type of neural network architecture used for sequence modeling.
How does GRU differ from LSTM?
GRU is simpler than LSTM as it has fewer gates, which can lead to faster training times while maintaining performance.
In what scenarios is GRU preferred over LSTM?
GRU is often preferred in scenarios with limited data or when computational efficiency is crucial.
Can you give an example of GRU in action?
Sure! GRUs are commonly used in tasks like language translation and speech recognition.
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