Practice Why Use CNN Instead of Regular Neural Networks? - 23.3 | 23. Convolutional Neural Network (CNN) | CBSE Class 10th AI (Artificial Intelleigence)
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Knowledge

23.3 - Why Use CNN Instead of Regular Neural Networks?

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does CNN stand for?

💡 Hint: Think about what kind of data CNNs are designed for.

Question 2

Easy

What is one disadvantage of traditional neural networks when handling images?

💡 Hint: Consider the number of values in an image.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is one key reason why CNNs are preferred for image processing over traditional neural networks?

  • a) They require more data preprocessing
  • b) They maintain spatial relationships
  • c) They operate slower.

💡 Hint: Think about how we see images.

Question 2

True or False: CNNs require fewer parameters to be trained than traditional neural networks.

  • True
  • False

💡 Hint: Consider how connections are formed in a CNN.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a scenario where a farmer uses image recognition to classify unhealthy plants. Explain how a CNN can improve this process compared to traditional neural networks.

💡 Hint: Think about automatic feature extraction and pattern recognition.

Question 2

Given a standard MLP structure, design a CNN for a specific task and discuss the architectural choices made for better performance.

💡 Hint: Which components enhance efficiency in image processing?

Challenge and get performance evaluation