Michele LaurelliBlog

Transfer Learning

A technique where knowledge learned from one task is applied to a different but related task, reducing training time and data requirements.

In italiano: Transfer Learning

Transfer learning leverages pre-trained models. Common approach: use a model trained on large dataset (e.g., ImageNet) as starting point for specific task.

Examples

  • Using pre-trained ResNet for medical image classification
  • Fine-tuning BERT for sentiment analysis
  • Adapting GPT for code generation