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

Artificial Neural Networks are computational models inspired by the human brain’s structure and function. They consist of interconnected nodes that process and transmit data,…
Knowledge-Based Systems are AI systems that utilise domain-specific knowledge and rules to make informed decisions or provide expert advice. These systems incorporate human expertise…
Genetic Algorithms are optimisation techniques inspired by the principles of evolution. By mimicking natural selection, Genetic Algorithms explore a large search space and find…
Reinforcement Learning is a branch of AI that focuses on training agents to make decisions through trial and error in a specific environment. By…