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In the context of CNNs, what does 'stride' refer to?
In the context of CNNs, what does 'stride' refer to?
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In the context of CNNs, what does 'stride' refer to?
The number of filters used
The step size of the filter during convolution
The depth of the network
The size of the input image
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Stride refers to the step size of the filter during convolution, determining how much the filter moves across the input image.
Questions & Step-by-step Solutions
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Q
Q: In the context of CNNs, what does 'stride' refer to?
Solution:
Stride refers to the step size of the filter during convolution, determining how much the filter moves across the input image.
Steps: 6
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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.
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