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USAII CAIC Exam - Topic 7 Question 1 Discussion

Posted by Christa on May 17, 2026 at 01:35 AM

Which of the following statement is CORRECT for RNN?

Suggested Answer: E

The correct answer is E. a, b and c only because all three statements correctly describe Recurrent Neural Networks and their limitation. RNNs are neural network models designed for sequential data such as text, speech, time-series data, and ordered events. They process information step by step and use previous hidden states to influence later outputs.

Statement A is correct because a major drawback of traditional RNNs is their difficulty in remembering information over many time steps. This happens mainly because of vanishing gradient problems during training. Statement B is also correct because standard RNNs generally struggle with long-term dependencies, meaning they may fail to retain important information from earlier parts of a sequence. Statement C is correct because Long Short-Term Memory networks are a specialized extension of RNNs designed to handle long-term memory more effectively using gates that control what information is stored, forgotten, and passed forward.

Therefore, the best answer is E. a, b and c only.


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26 comments · newest first
MI
Michal 1 day ago
A and B are true, but C is the key.
MI
Micheline 7 days ago
I agree with C too. RNNs struggle with long sequences.
JE
Jerry 12 days ago
I think C is correct. LSTMs are designed for long-term memory.
DE
Detra 17 days ago
I thought RNNs could remember more than just a few steps?
FR
Freida 22 days ago
A and B are definitely true, but C is crucial too!
PH
Phillip 27 days ago
Wait, are RNNs really that limited?
LA
Lang 1 month ago
Totally agree, LSTMs are a game changer for that!
LU
Luann 1 month ago
RNNs really struggle with long sequences.
EV
Evette 1 month ago
I thought RNNs could remember more than that, huh.
GL
Glendora 2 months ago
A and B are definitely true, but C is key too!
KA
Kaitlyn 2 months ago
Wait, are RNNs really that limited?
LU
Luisa 2 months ago
Totally agree, LSTMs are a game changer!
JO
Joni 2 months ago
RNNs really struggle with long sequences.
EF
Effie 2 months ago
LSTMs definitely help with long-term memory issues.
JA
Jarvis 2 months ago
I thought RNNs could remember more than just a few steps?
CH
Chaya 3 months ago
Wait, are RNNs really that limited?
JO
Johnna 3 months ago
Totally agree, LSTMs are a game changer for that!
AL
Alease 3 months ago
RNNs really struggle with long sequences.
TI
Tiara 3 months ago
I’m a bit confused about A and B; I thought RNNs could remember some context, but maybe not as much as LSTMs.
PA
Paris 3 months ago
I practiced a similar question last week, and I think the answer is E because it includes all the statements about RNNs and LSTMs.
AR
Arthur 3 months ago
I'm not entirely sure, but I feel like LSTMs are definitely related to RNNs and help with long-term memory, which makes C sound right.
MI
Mitsue 4 months ago
I remember discussing how RNNs struggle with long sequences, so I think A and B might be correct.
KE
Kenny 4 months ago
I'm a bit confused about whether to include C in my answer. It seems important, but does it really change the correctness of A and B?
GE
Geoffrey 4 months ago
I feel like I've seen a question like this before, and I think D might be the right choice since both A and B are true.
LI
Lizette 4 months ago
I think C is definitely true since LSTMs are designed to handle long-term dependencies better than standard RNNs.
KA
Kattie 6 months ago
I remember studying that RNNs struggle with long sequences, so A seems correct. But I'm not sure about B.
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