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Recurrent Neural Networks (RNN)
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In what scenario would using an RNN (like LSTM) be more advantageous than a traditional feedforward neural network?

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A

When processing sequential data such as time series or text

B

When working with static images

C

When the dataset is small and simple

D

When speed of training is the primary concern

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RNNs, like LSTM, keep a short‑term memory of earlier inputs. Other options are incorrect because Many people think RNNs are good for pictures because they are neural nets; A small dataset does not automatically mean an RNN is best.

Key Concepts

Recurrent Neural Networks (RNN)
Sequence Modeling
Feedforward Neural Networks
Topic

Recurrent Neural Networks (RNN)

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medium level question

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Definition
Definition

Recurrent neural networks, including LSTM and gated recurrent networks, have been widely used for sequence modeling and transduction tasks. These networks factor computation along symbol positions and generate hidden states sequentially, limiting parallelization and efficiency.

Topic Definition

Recurrent neural networks, including LSTM and gated recurrent networks, have been widely used for sequence modeling and transduction tasks. These networks factor computation along symbol positions and generate hidden states sequentially, limiting parallelization and efficiency.

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