What is curriculum learning?

Curriculum learning is a method of training machine learning models where the training occurs gradually, starting with simple examples and progressing to more complex ones. The idea is similar to human learning: basic concepts are mastered first, followed by more complex ones.

Advantages:

• Improved model convergence.
• Enhanced training quality and generalization ability.
• Reduced risk of getting stuck in local minima.

Example: when training a neural network for image recognition, simple, well-distinguished images are shown first, and then gradually more complex and noisy data are added.