The answer
No, Transformer models have mostly replaced RNNs because they process words in parallel, making training much faster.
What are Recurrent Neural Networks (RNN) and LSTM?
Are RNNs still the state-of-the-art for NLP?
More FAQs in What are Recurrent Neural Networks (RNN) and LSTM?
They are widely used for machine translation, speech-to-text, sentiment analysis, and time-series forecasting.
Due to vanishing gradients, the network forgets words at the beginning of a long sentence by the time it reaches the end.
The Cell State acts like a conveyor belt, allowing information to flow down the sequence with minimal modification.
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