Curriculum Learning

Curriculum Learning is a training strategy in machine learning where models are trained on progressively more complex tasks. By starting with simpler examples and gradually introducing more challenging ones, this approach helps improve the learning efficiency and performance of the model. It mimics the way humans learn, allowing the model to build foundational knowledge before tackling harder problems. Common use cases include training deep learning networks in natural language processing and computer vision, where early-stage training on simpler datasets can lead to better generalization on complex tasks.