: The image is fed into the network. As it passes through each layer, the model breaks it down from simple pixels to basic shapes (edges, textures) and finally to complex semantic features (objects, specific patterns).
: Finding images that "look" like "AmourAngels-0041.jpg" even if the pixels aren't identical. AmourAngels-0041.jpg
: This output is a long list of numbers (a vector) that mathematically describes the "essence" or content of the image, which can then be used for tasks like image search or content moderation . Why This is Done : The image is fed into the network
