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4 1 point Repeated convolutions with a small kernel are more efficient than a single convolution with a large kernel beacuse A single convolution with

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Repeated convolutions with a small kernel are more efficient than a single convolution with a large kernel beacuse
A single convolution with a large kernel allows the network to learn fewer parameters
Repeated convolutions with a small kernel allows the network to capture global interactions in the data
A single convolution with a large kernel allows the network to capture local interactions in the data
Repeated convolutions with a small kernel allows the network to learn fewer parameters
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