The process where an ML model is initially trained on a large dataset and then fine-tuned for a specific task using a smaller dataset is called ________.
- Deep Learning
- Reinforcement Learning
- Supervised Learning
- Transfer Learning
Transfer learning involves taking an ML model pretrained on a large dataset and fine-tuning it for a specific task with a smaller dataset. It's a common technique in machine learning.
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