Zero-shot Learning, Explained - KDnuggets

The reason why machine learning models in general are becoming smarter is due to their dependency on using labeled data to help them discern between two similar objects. However, without these labeled datasets, you will encounter major obstacles when creating the most effective and trustworthy machine-learning model. Deep learning has been widely used to solve tasks such as Computer vision using supervised learning. However, as with many things in life, it comes with restrictions. Supervised classification requires a high quantity and quality of labeled training data in order to produce a robust model.