Self-Supervised Learning vs Unsupervised Learning

Machine learning (ML) techniques have evolved significantly over the years, leading to the rise of self-supervised learning and unsupervised learning. Both approaches deal with learning patterns from unlabeled data, but they serve different purposes and operate in distinct ways. Understanding the differences between self-supervised learning vs unsupervised learning is crucial for selecting the right approach … Read more

Self-Supervised Learning Examples

Self-supervised learning (SSL) is a groundbreaking approach in machine learning, where models learn to understand and interpret data by generating their own labels. Unlike supervised learning, which requires labeled datasets, SSL leverages the inherent structure within the input data to create meaningful training signals. This article explores various examples of self-supervised learning, its applications, and … Read more