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 Graphs are a structured representation of knowledge that captures relationships between entities. They organise information in a way that allows machines to understand…
Cognitive Computing involves creating computer systems that can imitate human cognitive abilities, such as perception, reasoning, learning, and problem-solving. By combining AI, Machine Learning,…
Weak AI, also known as Narrow AI, refers to AI systems designed to perform specific tasks with human-like intelligence, but without true general intelligence….