Catalog explanation
Transfer learning reduces data and training requirements when a pretrained model has learned features useful for a related target problem.
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AIF-C01 catalog question
Modern Learning Paradigms
What is the main purpose of transfer learning in machine learning?
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A
To choose hardware accelerators before features and labels are defined
B
To adapt useful representations from a source task to a related target task