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In the context of CNNs, what does 'stride' refer to?

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Question: In the context of CNNs, what does \'stride\' refer to?

Options:

  1. The number of filters used
  2. The step size of the filter during convolution
  3. The depth of the network
  4. The size of the input image

Correct Answer: The step size of the filter during convolution

Solution:

Stride refers to the step size of the filter during convolution, determining how much the filter moves across the input image.

In the context of CNNs, what does 'stride' refer to?

Practice Questions

Q1
In the context of CNNs, what does 'stride' refer to?
  1. The number of filters used
  2. The step size of the filter during convolution
  3. The depth of the network
  4. The size of the input image

Questions & Step-by-Step Solutions

In the context of CNNs, what does 'stride' refer to?
  • Step 1: Understand that a CNN (Convolutional Neural Network) uses filters to analyze images.
  • Step 2: Know that these filters slide over the image to capture features.
  • Step 3: The 'stride' is the distance the filter moves each time it slides over the image.
  • Step 4: A stride of 1 means the filter moves one pixel at a time.
  • Step 5: A stride of 2 means the filter skips one pixel and moves two pixels at a time.
  • Step 6: The size of the stride affects how much of the image is covered and the size of the output.
  • Stride in CNNs – Stride refers to the step size of the filter during convolution, determining how much the filter moves across the input image.
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