Topic 1 Question 350
A company’s machine learning (ML) team needs to build a system that can detect whether people in a collection of images are wearing the company’s logo. The company has a set of labeled training data.
Which algorithm should the ML team use to meet this requirement?
Principal component analysis (PCA)
Recurrent neural network (RNN)
К-nearest neighbors (k-NN)
Convolutional neural network (CNN)
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- 正解だと思う選択肢: D
from copilot- The correct answer is D. Convolutional neural network (CNN).
CNNs are highly effective for image recognition tasks, including detecting logos in images. They can automatically learn and extract features from images, making them well-suited for identifying specific patterns, such as logo
👍 1MultiCloudIronMan2024/09/22 - 正解だと思う選択肢: D
A. PCA: No, it's for dimensionality reduction, not image classification. B. RNN: No, it's designed for sequential data, not for images. C. k-NN: No, it's a basic classifier that doesn't effectively extract image features. D. CNN: Sí, because Convolutional Neural Networks are designed to extract spatial features from images for classification tasks.
👍 1italiancloud20252025/02/18
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