Learning Path
Question & Answer1
Understand Question2
Review Options3
Learn Explanation4
Explore TopicChoose the Best Answer
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
Understanding the Answer
Let's break down why this is correct
Answer
Using an RNN such as an LSTM is more advantageous when the data have a temporal or sequential structure, like text, speech, or sensor readings over time. The LSTM keeps a memory of past inputs, so it can weigh earlier words or sounds when predicting the next one, something a feedforward network cannot do because it treats each input independently. For example, in language modeling, the probability of the next word depends heavily on the words that came before, and an LSTM can remember that “the quick brown” was followed by “fox” in a sentence. A feedforward network would forget the earlier context and would likely produce a less accurate prediction. Therefore, whenever past observations influence future predictions, an LSTM is the better choice.
Detailed Explanation
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)
Difficulty
medium level question
Cognitive Level
understand
Practice Similar Questions
Test your understanding with related questions
1
Question 1What is a key advantage of using Recurrent Neural Networks over traditional feedforward networks for sequence data?
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2
Question 2In what scenario would using an RNN (like LSTM) be more advantageous than a traditional feedforward neural network?
mediumComputer-science
Practice
3
Question 3What is a key advantage of using Recurrent Neural Networks over traditional feedforward networks for sequence data?
easyComputer-science
Practice
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