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

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….
The Viterbi Algorithm is a dynamic programming algorithm used in sequence analysis, such as speech recognition and Natural Language Processing. It finds the most…
Cybersecurity in Artificial Intelligence addresses the protection of AI systems from security threats and vulnerabilities. It involves implementing strategies and technologies to safeguard AI…
Big Data refers to large, complex datasets that cannot be easily managed or analysed with traditional data processing methods. AI techniques, such as Machine…