Google's Embedding Projector tool will give developers a way to visualize how effectively their machine leaning systems are using data. Google's Embedding Projector web applications will give developers a way to visualize how well their machine learning systems are interpreting data.

Google has open sourced its Embedding Projector, a web application that gives developers a way to visualize data that's being used to train their machine learning systems. Embedding Projector is part of TensorFlow, the machine learning technology behind some popular Google services like image search, Smart Reply in Inbox and Google Translate. The company released TensorFlow to the open source community last year in order to spur more development activity in the field. In a technical paper, Google researchers described the Embedding Projector as an interactive visualization tool that developers can use to interpret machine-learning models that rely on what are known as "embeddings." "With the widespread adoption of ML systems, it is increasingly important for research scientists to be able to explore how the data is being interpreted by the models," Google engineer Daniel Smilkov said in Google's open source blog.

Google's Embedding Projector web applications will give developers a way to visualize how well their machine learning systems are interpreting data.

Google Open Sources Data Visualization Tool for Machine Learning By Jaikumar Vijayan Posted 2016-12-12 Print Google's Embedding Projector web applications will give developers a way to visualize how well their machine learning systems are interpreting data. Google has open sourced its Embedding Projector, a web application that gives developers a way to visualize data that's being used to train their machine learning systems. Embedding Projector is part of TensorFlow, the machine learning technology behind some popular Google services like image search, Smart Reply in Inbox and Google Translate. The company released TensorFlow to the open source community last year in order to spur more development activity in the field. In a technical paper, Google researchers described the Embedding Projector as an interactive visualization tool that developers can use to interpret machine-learning models that rely on what are known as "embeddings."