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?单项选择题
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.
登录即可查看完整答案
我们收录了全球超50000道真实原题与详细解析,现在登录,立即获得答案。
类似问题
How can deep convolutional neural network (DCNN) face recognition models be more like human face processing?
在 2D 卷积神经网络(CNN)中,卷积核的数量说明了什么? In a 2-D convolutional neural network (CNN), what does the number of kernels define?
Which statement best describes what early CNN layers tend to learn?
In a deep neural network (e.g., a CNN for image classification), hidden layers often learn a feature hierarchy. Which statement best describes what this means?
更多留学生实用工具
希望你的学习变得更简单
加入我们,立即解锁 海量真题 与 独家解析,让复习快人一步!