What is Transfer Learning?

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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

Computer vision is a field of AI that focuses on training machines to understand and interpret images and videos. By analysing visual data, machines…
Natural Language Processing involves the interaction between computers and human language, enabling machines to understand, interpret, and generate human language. It powers applications like…
Automation involves the use of technology, including AI, to perform tasks and processes with minimal human intervention. By automating repetitive or time-consuming tasks, businesses…
Pattern Recognition is an AI technique that recognises patterns and structures in data. This approach involves identifying common features or characteristics and using these…