The answer
They are widely used for machine translation, speech-to-text, sentiment analysis, and time-series forecasting.
What are Recurrent Neural Networks (RNN) and LSTM?
What are RNNs used for?
More FAQs in What are Recurrent Neural Networks (RNN) and LSTM?
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.
No, Transformer models have mostly replaced RNNs because they process words in parallel, making training much faster.
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