What is Transfer Learning?

Skill Level:

Transfer Learning is a technique that allows AI models to apply knowledge gained from one task to another related task. By leveraging pre-trained models on large datasets, businesses can save time and resources in training new models and achieve better performance in areas like natural language processing, image recognition, and recommendation systems.

Other Definitions

Machine Vision refers to the use of AI and computer vision techniques to enable machines to perceive and understand visual information. It involves analysing…
A Large Language Model refers to a type of advanced Artificial Intelligence model designed to exhibit human-like language understanding and generation abilities. LLMs are…
Computer vision is a field of AI that focuses on training machines to understand and interpret images and videos. By analysing visual data, machines…