: 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).
: Most deep features are extracted using established models like VGG or ResNet that have already been trained on massive datasets like ImageNet. AmourAngels-0041.jpg
: Automatically identifying what is in the photo. : The image is fed into the network