Transfer Learning

> Transfer learning is a machine learning technique where knowledge gained from solving one problem is used to improve learning and performance on a different but related problem.
> It’s like using what you know from one subject to understand another.
> This approach saves time and resources by building upon existing knowledge, making it an effective way to enhance models for new tasks.
> It’s like using past experiences to learn faster and adapt to new challenges, making it a powerful tool in AI for efficient learning and problem-solving.

https://www.tensorflow.org/js/tutorials/transfer/what_is_transfer_learning