Summary:
- This article is about self-supervised learning, which is a type of machine learning where the model learns from unlabeled data to discover patterns and features on its own.
- It discusses how Lightly AI, a machine learning platform, can be used to efficiently curate data and implement active learning techniques for self-supervised learning.
- The article provides a coding guide and examples to help readers understand how to use Lightly AI to master self-supervised learning and improve the efficiency of their machine learning models.