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Huawei Exam H13-311_V3.5 Topic 9 Question 7 Discussion

Actual exam question for Huawei's H13-311_V3.5 exam
Question #: 7
Topic #: 9
[All H13-311_V3.5 Questions]

Which of the following are feedforward neural networks?

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Suggested Answer: A, D

Feedforward neural networks (FNNs) are networks where information moves in only one direction---forward---from the input nodes through hidden layers to the output nodes. Both fully-connected neural networks (where each neuron in one layer connects to every neuron in the next) and convolutional neural networks (CNNs) (which have a specific architecture for image data) are examples of feedforward networks.

However, recurrent neural networks (RNNs) and Boltzmann machines are not feedforward networks. RNNs include loops where information can be fed back into previous layers, and Boltzmann machines involve undirected connections between units, making them a form of a stochastic network rather than a feedforward structure.


Contribute your Thoughts:

Madonna
2 months ago
I feel like I should know this, but my brain is just not cooperating. Maybe I need to trade in my neural network for a spaghetti network instead.
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Dino
2 months ago
Boltzmann machines? Sounds like some kind of spooky neural network. I'm going with the safer options, like fully-connected and convolutional.
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Carissa
10 days ago
Fully-connected and convolutional networks are definitely more mainstream compared to Boltzmann machines.
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Benedict
12 days ago
I think Boltzmann machines are used in more specialized applications, but I'll go with fully-connected and convolutional as well.
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Rasheeda
26 days ago
Yeah, fully-connected and convolutional networks are more commonly used in practice.
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Valentine
1 months ago
I agree, Boltzmann machines do sound spooky. I'm sticking with fully-connected and convolutional too.
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Arlie
2 months ago
Recurrent neural networks are not feedforward, that much I know. But I'm drawing a blank on the rest. Time to hit the books!
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Rupert
23 days ago
You're right, B and C are not feedforward networks.
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Junita
24 days ago
C) Boltzmann machines
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Lelia
25 days ago
B) Recurrent neural networks
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Patrick
26 days ago
I think A and D are feedforward neural networks.
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Dan
29 days ago
D) Convolutional neural networks
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Murray
1 months ago
A) Fully-connected neural networks
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Dean
2 months ago
I think A) Fully-connected neural networks are feedforward because they have no cycles in their connections.
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Quinn
2 months ago
Convolutional neural networks are definitely feedforward, I remember that from my deep learning class. The others... hmm, not so sure.
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Eileen
23 days ago
That's correct, both fully-connected and convolutional neural networks are feedforward.
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Beckie
24 days ago
D) Convolutional neural networks
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Elenora
25 days ago
A) Fully-connected neural networks
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Augustine
26 days ago
I think fully-connected neural networks are also feedforward.
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Julio
27 days ago
C) Boltzmann machines
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Eileen
28 days ago
B) Recurrent neural networks
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Oretha
1 months ago
Yes, convolutional neural networks are definitely feedforward.
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Wava
1 months ago
D) Convolutional neural networks
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Eva
2 months ago
A) Fully-connected neural networks
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Judy
2 months ago
D) Convolutional neural networks
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Dean
2 months ago
A) Fully-connected neural networks
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Arlie
3 months ago
I'm pretty sure fully-connected neural networks are feedforward, but I'm not sure about the others. Gotta study up on my neural network types!
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Chi
2 months ago
Yes, you're correct. Fully-connected and convolutional neural networks are feedforward.
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Tish
2 months ago
I think A and D are feedforward neural networks.
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Roselle
2 months ago
D) Convolutional neural networks
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Theola
2 months ago
A) Fully-connected neural networks
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