Asked about Convolutional networks
Why are convolutions suited to images?
An answer that works
They exploit locality, since nearby pixels are related, and translation invariance, since a feature means the same thing wherever it appears. Sharing the same filter weights across the image also means far fewer parameters than a fully connected layer.
Reading an answer is not being able to give one. The section that teaches this is Convolutional networks, 5 hours of Convolutional networks.
Learn this properlyAlso asked about Convolutional networks
Would you train a vision model from scratch?Have vision transformers replaced convolutional networks?What is the difference between detection and segmentation?How do you choose data augmentations?What is the output shape of a 3x3 convolution with stride 2 and padding 1 on a 64x64x32 input with 64 filters, and how many parameters does it have?How does CLIP enable zero-shot classification?Explain mean average precision for object detection.