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

The Zeroth Law of Robotics is a fictional concept introduced by science fiction author Isaac Asimov. It suggests that a robot’s actions should not…
Ontologies are a representation of knowledge that defines concepts and the relationships among them. Ontologies enable machines to structure and reason information in a…
Humanoid Robots are advanced machines designed to resemble and interact with humans in a human-like manner. These robots are equipped with AI capabilities that…
Multi-Agent Systems are AI systems where multiple autonomous agents interact and collaborate to accomplish a goal. These agents can be software programs, robots, or…