Embedding Projector: Interactive Visualization and Interpretation of Embeddings

Autor:	Smilkov, Daniel, Thorat, Nikhil, Nicholson, Charles, Reif, Emily, Viégas, Fernanda B., Wattenberg, Martin
Rok vydání:	2016
Předmět:	Statistics - Machine Learning Computer Science - Human-Computer Interaction
Druh dokumentu:	Working Paper
Popis:	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. Comment: Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1611.05469 Zobrazit plný text záznamu View this record from Arxiv