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MLS-C01 · Question #124

The chief editor for a product catalog wants the research and development team to build a machine learning system that can be used to detect whether or not individuals in a collection of images are…

The correct answer is D. Convolutional neural network (CNN). The R&D team needs to build a machine learning system to detect if individuals in images are wearing a specific retail brand.

Modeling

Question

The chief editor for a product catalog wants the research and development team to build a machine learning system that can be used to detect whether or not individuals in a collection of images are wearing the company's retail brand. The team has a set of training data. Which machine learning algorithm should the researchers use that BEST meets their requirements?

Options

  • ALatent Dirichlet Allocation (LDA)
  • BRecurrent neural network (RNN)
  • CK-means
  • DConvolutional neural network (CNN)

How the community answered

(27 responses)
  • A
    11% (3)
  • B
    4% (1)
  • C
    4% (1)
  • D
    81% (22)

Why each option

The R&D team needs to build a machine learning system to detect if individuals in images are wearing a specific retail brand.

ALatent Dirichlet Allocation (LDA)

Latent Dirichlet Allocation (LDA) is a topic modeling algorithm used for discovering abstract "topics" in a collection of documents, not for image analysis.

BRecurrent neural network (RNN)

Recurrent Neural Networks (RNNs) are primarily used for sequential data processing, such as natural language processing or time series analysis, not for static image classification.

CK-means

K-means is an unsupervised clustering algorithm, used for grouping similar data points, not for supervised classification tasks like detecting specific objects or brands in images.

DConvolutional neural network (CNN)Correct

Convolutional Neural Networks (CNNs) are a class of deep learning models specifically designed for processing and analyzing visual data like images. They excel at tasks such as image classification, object detection, and feature extraction, making them the most suitable algorithm for detecting whether individuals in images are wearing a specific retail brand.

Concept tested: Image classification using Convolutional Neural Networks (CNNs)

Source: https://en.wikipedia.org/wiki/Convolutional_neural_network

Topics

#Image Classification#Convolutional Neural Networks#Algorithm Selection#Computer Vision

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