What is fine-tuning in transfer learning?
An example of an AI chatbot conversation about fine-tuning transfer learning models.
What is fine-tuning in transfer learning?
Fine-tuning is the process of taking a pre-trained model and making small adjustments to it for a specific task.
Why is fine-tuning important?
Fine-tuning allows models to leverage existing knowledge, improving performance on specific tasks with less data.
Can you give an example of fine-tuning?
Sure! For instance, you can fine-tune a model trained on general images to recognize specific objects like cats or dogs.
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