In RNNs, what term is used to describe the function of retaining information from previous inputs in the sequence?
- Convolution
- Feedback Loop
- Gradient Descent
- Memory Cell (or Hidden State)
In RNNs, the function that retains information from previous inputs in the sequence is typically referred to as the "Memory Cell" or "Hidden State." This element allows RNNs to maintain a form of memory that influences their predictions at each step in the sequence, making them suitable for sequential data processing.
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