Deep Learning, Machine Learning, Neural Networks, Computer Vision, Artificial Intelligence.
these low-level features captured in the first few layers can be useful for comparing images that are very similar. For example, let’s suppose you built a network to construct a super-resolved image from the input image. During training, your target image will be a super-resolved version of the