Practice Summary (23.10) - Convolutional Neural Network (CNN)

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9 questions

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6 sample questions

Question 1.
What does the input layer do in a CNN?
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Think about what the first step is when processing an image.
Question 2.
What is the purpose of the pooling layer?
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Consider why size reduction might help the network.
3Question 3.
What does CNN stand for?
- Computer Neural Network
- Convolutional Neural Network
- Cross Neural Network
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Remember the main focus of this type of network!
4Question 4.
Is ReLU an activation function used in CNNs?
- True
- False
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Recall what functions are used to process neuron outputs.
Question 5.
Design a CNN architecture for an application that requires both recognizing objects in images and classifying them into categories, considering the various layers discussed.
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Think about how each layer contributes to the overall goal of recognizing and classifying.
Question 6.
Compare and contrast the advantages and limitations of CNNs versus traditional neural networks when dealing with image data.
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Think about the strengths and weaknesses of both models in image processing tasks.

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