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Which type of neural network is often used for image recognition tasks?

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Question: Which type of neural network is often used for image recognition tasks?

Options:

  1. Recurrent Neural Network (RNN)
  2. Convolutional Neural Network (CNN)
  3. Feedforward Neural Network
  4. Generative Adversarial Network (GAN)

Correct Answer: Convolutional Neural Network (CNN)

Solution: 

Convolutional Neural Networks (CNNs) are specifically designed for processing structured grid data like images, making them ideal for image recognition.

Which type of neural network is often used for image recognition tasks?

Practice Questions

Q1
Which type of neural network is often used for image recognition tasks?
  1. Recurrent Neural Network (RNN)
  2. Convolutional Neural Network (CNN)
  3. Feedforward Neural Network
  4. Generative Adversarial Network (GAN)

Questions & Step-by-Step Solutions

Which type of neural network is often used for image recognition tasks?
  • Step 1: Understand that neural networks are a type of computer program that can learn from data.
  • Step 2: Know that there are different types of neural networks for different tasks.
  • Step 3: Learn that images are made up of pixels arranged in a grid format.
  • Step 4: Recognize that Convolutional Neural Networks (CNNs) are designed to work well with grid-like data, such as images.
  • Step 5: Conclude that CNNs are often used for image recognition tasks because they can effectively analyze and identify patterns in images.
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