AiE catalog scenario Modern Learning Paradigms What is the main purpose of transfer learning in machine learning? 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 C To replace model fitting with deterministic business rules for the target task D To protect training data by encrypting model checkpoints before deployment to another team Answer ready for review Transfer learning reduces data and training requirements when a pretrained model has learned features useful for a related target problem. Submit Answer Previous Start Quiz Session Open Explanation
