What is Transfer Learning?
Transfer Learning is a technique used by AI systems to apply knowledge gained from one task to another. It's like the AI version of 'Hey, remember that one time you ate a pizza in college and now you're a expert in 80s music?'
- Pre-training a model on one dataset and then fine-tuning it on another.
- Applying domain knowledge from one task to another, like 'Hey, I'm a master of sarcasm, so I'm basically a pro at writing jokes too.'
- Using a pre-trained model as a starting point for a new task, like 'This neural network was trained on cat pictures, so I'm pretty sure it's a expert on... cats.'