As few as 10 labelled training images can be enough for image classification with extreme accuracy. As example, say an AI is trained this way with ten images each of elephants, tigers and bears.

Applications of few-shot learning techniques One application of few-shot learning techniques is in healthcare, where medical images with their diagnoses can be used to develop a classification model.

Explore the methods and applications of Few-Shot Learning, a game-changing approach in AI that enhances adaptability and knowledge transfer ...

What is Zero-Shot Learning? Zero-Shot Learning is an approach within machine learning that enables models to recognise and classify new instances without explicit training on those specific instances.