It is a class of neural network architectures that contain two or more identical sub-networks.
Identical means they both have same configuration with parameters and weights.
These networks are applied where we need to find similarity between two inputs like paraphrase scaling.
In paraphrase scaling we have to find the similarity between two text sentences.
Similarly we can find feature matching in two images of the same pose taken from a different viewpoint from the same camera or from two different cameras.
Identical means they both have same configuration with parameters and weights.
These networks are applied where we need to find similarity between two inputs like paraphrase scaling.
In paraphrase scaling we have to find the similarity between two text sentences.
Similarly we can find feature matching in two images of the same pose taken from a different viewpoint from the same camera or from two different cameras.
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