A beginner’s tutorial to train a classifier model with unlabeled data using semi-supervised learning (SSL)
Traditionally, training computer vision models like classifiers required labeled data. Each example in the training data needed to be a pair: an image, and a human-generated label describing the image. Recently, new SSL techniques have delivered the most accurate models in computer vision for classic challenges like Imagenet. Semi-supervised learning (SSL) lets a model learn […]