Transfer learning can boost your model’s performance even with limited data and resources.It allows you to build on pre-trained models, saving time, effort, and data.Transfer learning works by taking a model trained on a large dataset and adapting it to a new task.By utilizing transfer learning, you can improve model accuracy without requiring extensive data or costly compute power.