Transfer Learning: The Unlikely Hero of the AI World

A Brief History of Transfer Learning

Transfer learning is not a new concept in the field of AI, but it's often overlooked in favor of more flashy techniques like deep learning and reinforcement learning.

In the early days of AI, researchers were trying to solve the same problem over and over again. But then, someone had an epiphany: "Hey, why not just use someone else's solution?" And thus, transfer learning was born!

Types of Transfer Learning

There are several types of transfer learning, including:

• Fine-tuning: When you take a pre-trained model and add a new head to it.
• Domain adaptation: When you take a model pre-trained on one domain and adapt it to another.
• Learning to learn: When you learn to learn from another model.

And that's not all, folks! There are more types of transfer learning out there, but that's a topic for another time.