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RNNRecurrent Neural Network
再帰型ニューラルネットワーク(さいきがたニューラルネットワーク)
IntermediateModels & Architecture
A neural network designed for sequential data that maintains a memory of previous inputs, useful for time series and text.
Why It Matters
RNNs were foundational for sequence tasks before transformers, and remain relevant for time-series prediction.
Example in Practice
Predicting stock prices by analyzing historical trading patterns over time.