What is transfer learning?
An example of an AI chatbot conversation about transfer learning in machine learning.
What is transfer learning?
Transfer learning is a machine learning technique where a model developed for a specific task is reused as the starting point for a model on a second task.
Can you give me an example of how it works?
Sure! For instance, a model trained to recognize cats in images can be fine-tuned to recognize dogs by using the learned features from the cat model.
Why is transfer learning useful?
It's useful because it reduces the time and resources needed to train a model from scratch, especially when data is limited.
What are some common applications of transfer learning?
Common applications include image classification, natural language processing, and speech recognition.
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