$41$ point

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