Cyber Threat Intelligence
Machine Learning
A training strategy where models learn progressively from easier to harder examples similar to how humans learn. This approach often leads to better final performance and faster convergence.
Detailed Explanation
Curriculum Learning is a training technique in machine learning where models are introduced to data starting with simpler examples and gradually progressing to more complex ones. Inspired by human learning, this method helps models improve their understanding efficiently, often resulting in enhanced performance, quicker convergence during training, and better generalization by building knowledge incrementally.
Use Cases
- •Training a chatbot incrementally from simple to complex conversations improves understanding and response accuracy faster.
Related Terms
Other terms in the Machine Learning category