Instruction: Provide a comprehensive overview of Siamese Networks and discuss their use cases.
Context: This question assesses the candidate's knowledge of a specific neural network architecture and their ability to identify practical applications for it.
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The way I'd explain it in an interview is this: Siamese Networks are designed to learn whether two inputs are similar or related by passing them through shared-weight subnetworks and comparing the resulting representations. The shared weights matter because they force both inputs into the same...