In an RNN, which component is responsible for allowing information to be passed from one step in the sequence to the next?
- Hidden State
- Input Layer
- Output Layer
- Activation Function
The hidden state in an RNN is responsible for passing information from one step in the sequence to the next. It carries information from previous steps and combines it with the current input to capture sequential dependencies, making it a crucial component in recurrent neural networks.
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