Curriculum Learning

Curriculum learning is an educational approach applied in machine learning, where models are trained on tasks in a structured order based on difficulty. This method mimics human learning, starting with simpler examples and gradually progressing to more complex ones. By organizing training data into levels of difficulty, curriculum learning enhances model performance and efficiency, allowing for better generalization and reduced training time. It is particularly effective in domains like medical image analysis and reinforcement learning, where varying levels of complexity exist. This strategy not only improves accuracy but also helps models learn more effectively from their experiences.