Embeddings are ubiquitous in machine learning, appearing in recommender systems, NLP, and many other applications. Researchers and developers often need to explore the properties of a specific embedding, and one way to analyze embeddings is to visualize them. We present the Embedding Projector, a tool for interactive visualization and interpretation of embeddings.
['Daniel Smilkov', 'Nikhil Thorat', 'Charles Nicholson', 'Emily Reif', 'Fernanda B. Viégas', 'Martin Wattenberg']
Embedding Projector: Interactive Visualization and Interpretation of Embeddings