Machine Learning & Training

What Is One-Shot Learning?

One-shot learning is the ability of a model to learn to recognize a new category from only a single example. It is often achieved by comparing new inputs to a stored reference using learned similarity measures. This approach is valuable when collecting many labeled examples per class is impractical.