The answer
A model trained on large datasets (like ImageNet) that can be reused for other vision tasks via transfer learning (e.g., ResNet, VGG).
A model trained on large datasets (like ImageNet) that can be reused for other vision tasks via transfer learning (e.g., ResNet, VGG).
CNNs preserve spatial relationships between pixels and share weights across filters, dramatically reducing parameter counts.
Adding border pixels (usually zeros) to the input image to prevent the edges from shrinking after convolution operations.
The number of pixels by which the convolution filter moves in each step across the image.
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