Technical
Transfer Learning
Definition
A technique where a model trained on one task is repurposed as the starting point for a model on a different but related task.In-Depth Explanation
Transfer learning leverages knowledge gained from solving one problem and applies it to a different but related problem. Instead of training from scratch, you start with a pre-trained model and adapt it to your specific task. This dramatically reduces the data and compute needed. It is fundamental to modern AI, enabling fine-tuning of foundation models.
Real-World Example
Using a model pre-trained on millions of images to recognize specific medical conditions with only hundreds of labeled examples.
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