What are RNNs used for?
They are widely used for machine translation, speech-to-text, sentiment analysis, and time-series forecasting.
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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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