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

Graph Neural Networks are machine learning models designed to handle data structured as graphs. They can capture relationships and dependencies between entities and perform…
Natural Language Processing involves the interaction between computers and human language, enabling machines to understand, interpret, and generate human language. It powers applications like…
Ensemble Learning involves combining multiple Machine Learning models to achieve superior performance and accuracy. By leveraging the “wisdom of the crowd,” Ensemble Learning mitigates…
Speech Recognition enables machines to understand and interpret spoken words. By applying natural language processing techniques and AI models, businesses can develop speech recognition…