šŸŽÆ Meta-Learning Demo

Learning to Learn - Few-Shot Adaptation

šŸŽ“ What is Meta-Learning?

Meta-learning trains models to learn new tasks quickly from very few examples (few-shot learning). Instead of learning one task, the model learns how to learn, enabling rapid adaptation.

šŸ“š Training on Multiple Tasks

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Task 1: Cats

5 examples

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Task 2: Dogs

5 examples

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Task 3: Birds

5 examples

šŸ“ˆ Learning Curve Comparison

āœ… Result: Meta-learned model adapts to new task with just 5 examples, achieving 85% accuracy. Traditional model needs 1000+ examples for same accuracy!