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

Robotics Process Automation is an AI technology that automates repetitive and routine tasks in business processes. RPA involves using software robots to emulate human…
Cognitive Robotics involves the integration of AI and robotics to create intelligent machines that can interact and collaborate with humans in a human-like manner….
An algorithm is a set of rules and instructions that guide AI systems in solving problems or making decisions. Algorithms process data, analyse patterns,…
Edge Computing brings computing resources closer to the source of data generation, reducing latency and improving response times. By processing and analysing data locally…