Explain the role of transfer learning in reducing computational costs and time in model development.

Instruction: Provide insights into how transfer learning can make model development more efficient.

Context: This question tests the candidate's ability to apply transfer learning strategically to optimize resources, a key consideration in large-scale machine learning projects.

Official answer available

Preview the opening of the answer, then unlock the full walkthrough.

The way I'd explain it in an interview is this: Transfer learning reduces cost and time because the expensive representation learning has already happened during pretraining. The target model can start from a strong point rather than...

Related Questions