Google's TensorFlow Similarity helps AI models find related items

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Google today announced TensorFlow Similarity, a Python package designed to train similarity models with the company's TensorFlow machine learning framework. Similarity models search for related items, for example finding similar-looking clothes and identifying currently playing songs. As Google explains, many similarity models are trained using a technique called contrastive learning. Contrastive learning, in turn, relies on clustering algorithms, which automatically identify patterns in data by operating on the theory that data points in groups should have similar features.