The answer
An RNN that processes the sequence in both forward and backward directions to capture context from both sides.
An RNN that processes the sequence in both forward and backward directions to capture context from both sides.
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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