Introduction to Zero-Shot Learning in Machine Learning
Zero-shot learning (ZSL) is a fascinating concept in the field of machine learning that aims to enable models to classify data from classes that were never seen during training. In traditional supervised learning, models are trained on labeled datasets, where each class or category the model is trained on is represented during training. However, in many real-world scenarios, it’s not always possible to have labeled data for every possible category…