Chapter 4: Relation and Matching Networks Using TensorFlow

  1. A relation network consists of two important functions: the embedding function, denoted by , and the relation function, denoted by . 
  2. Once we have the feature vectors of the support set, and query set,  , we combine them using an operator, . Here,  can be any combination operator; we use ...

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