It's similar to how you prove that a given problem has a solution or not, except in that case we use reductions rather than mappings.
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What is the relationship between Transfer Learning and Compression/Unsupervised Learning? Does finding a compressed representation of a problem allow for transfer learning to take place? Or can mappings from one domain to another be made without compression?
@bradtheilman - 2 more replies
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