题目
2025FallB-X-CSE571-78760 期末考试 Final Exam
单项选择题
哪一项陈述正确描述了卷积神经网络 (CNN) 在识别中的特征? Which statement describes a characteristic of the Convolutional Neural Network (CNN) in recognition correctly?
选项
A.CNN 是一种基于逻辑的方法。 CNN is a logic-based method.
B.CNN 适用于深度学习方案。 CNN is applicable for deep learning schema.
C.CNN 是一种基于表观的方法。 CNN is an appearance-based method.
D.CNN 需要以图像的统计信息作为输入。 CNN requires the statistical information of the image as input.
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思路分析
先把问题和选项逐条抖出,以确保理解无误。
问题:哪一项陈述正确描述了卷积神经网络(CNN)在识别中的特征?
选项:
1) CNN 是一种基于逻辑的方法。 CNN is a logic-based method.
2) CNN 适用于深度学习方案。 CNN is applicable for deep learning schema.
3)......Login to view full explanation登录即可查看完整答案
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Question23 Which of the following statements is/are CORRECT about a convolutional layer? (you can chose more than one) The number of weights depends on the depth of the input volume The total number of parameters depends on the padding The total number of parameters depends on the stride The number of biases is equal to the number of filters ResetMaximum marks: 1.5 Flag question undefined
This is the CNN Architecture diagram that was explained in lectures. Match A, B, C, D, and E to the correct labels below. Note: Full marks will only be awarded for getting all matches correct here. You must make selections in all drop down lists in order for this question to be counted.
In implementing CNNs, we actually implement the forwards pass as a cross-correlation. This means that for the backward pass, the gradient of the loss with respect to the input is
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