Transfer Learning

What is Transfer Learning?

Taking a model pre-trained on a massive dataset (like ImageNet) and fine-tuning it on a smaller, specific task. It recycles learnt features.

Where did the term "Transfer Learning" come from?

The standard workflow in practical Deep Learning.

How is "Transfer Learning" used today?

Why you don't need Google-scale data to build a classifier.

Related Terms

• Fine-tuning
• Machine Learning