Transfer Learning

Transfer learning is a machine learning technique where a model trained on one task is re-purposed or fine-tuned for another related task, leveraging pre-existing knowledge to improve performance and reduce training time. This approach is particularly relevant in the tech community as it enables researchers and developers to adapt pre-trained models to new problems, overcoming the challenge of limited labeled data and accelerating innovation in areas like computer vision, natural language processing, and more.