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Question 43 - H13-311_V3.5 discussion

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Which of the following are feedforward neural networks?

A.
Fully-connected neural networks
Answers
A.
Fully-connected neural networks
B.
Recurrent neural networks
Answers
B.
Recurrent neural networks
C.
Boltzmann machines
Answers
C.
Boltzmann machines
D.
Convolutional neural networks
Answers
D.
Convolutional neural networks
Suggested answer: A, D

Explanation:

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.

asked 26/09/2024
Dinuka Darshana
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