What model is not a cyclic neural network?

The correct answer is C. GBOT. GBOT is not a recognized neural network architecture at all - it is a fabricated term included as a distractor, so it cannot belong to the category of cyclic (recurrent) neural networks. RNN, LSTM, and GRU are all wrong answers because they are well-established recurrent…

Deep Learning Basics

Question

Options

ARNN
BLSTM
CGBOT
DGRU

How the community answered

(60 responses)

A
3% (2)
B
12% (7)
C
80% (48)
D
5% (3)

Explanation

GBOT is not a recognized neural network architecture at all - it is a fabricated term included as a distractor, so it cannot belong to the category of cyclic (recurrent) neural networks. RNN, LSTM, and GRU are all wrong answers because they are well-established recurrent models: RNNs are the foundational cyclic network that feeds output back into itself across time steps, LSTMs are a more advanced recurrent architecture that uses gating mechanisms to manage long-term dependencies, and GRUs are a streamlined variant of LSTMs with fewer parameters but the same recurrent structure. All three share the defining feature of cyclic connections that allow information to flow across sequence steps, which GBOT lacks by virtue of not existing.

Memory tip: Think of the three real recurrent models as a family - RNN is the parent, and LSTM and GRU are its two children. Any name that does not fit this family tree is your answer for "not cyclic."

Topics

#cyclic neural networks#RNN/LSTM/GRU#neural network architectures#recurrent models

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