What is Few-Shot Learning in AI with Examples
Few-shot learning is a relatively new subfield of machine learning and deep learning that has gained a lot of attention in recent years. The goal of few-shot learning is to enable AI models to learn from only a small number of labeled training data. This is in contrast to traditional supervised learning, where the model…