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Question 42 - H13-311_V3.5 discussion

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Which of the following statements is false about feedforward neural networks?

A.
A unidirectional multi-layer structure is adopted. Each layer includes several neurons, and those in the same layer are not connected to each other. Only unidirectional inter-layer information transmission is supported.
Answers
A.
A unidirectional multi-layer structure is adopted. Each layer includes several neurons, and those in the same layer are not connected to each other. Only unidirectional inter-layer information transmission is supported.
B.
Nodes at each hidden layer represent neurons that provide the computing function.
Answers
B.
Nodes at each hidden layer represent neurons that provide the computing function.
C.
Input nodes do not provide the computing function and are used to represent only the element values of an input vector.
Answers
C.
Input nodes do not provide the computing function and are used to represent only the element values of an input vector.
D.
Each neuron is connected to all neurons at the previous layer.
Answers
D.
Each neuron is connected to all neurons at the previous layer.
Suggested answer: D

Explanation:

This statement is false because not all feedforward neural networks follow this architecture. While fully-connected layers do have this type of connectivity (where each neuron is connected to all neurons in the previous layer), feedforward networks can include layers like convolutional layers, where not every neuron is connected to all previous neurons. Convolutional layers, common in convolutional neural networks (CNNs), only connect to a local region of the input, preserving spatial information.

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asked 26/09/2024
safiqueahmed kazi
37 questions
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