This is the Python client for TensorFlow. The API is computation using data flow graphs for scalable machine learning. It is an open source software library for numerical computation using data flow graphs. This architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. It also includes TensorBoard, a data visualization toolkit. TensorFlow is a scalable open-source machine learning library for research and production.
Last week, HP officially launched commercial plans for Haven OnDemand, a machine learning platform that offers developers a suite of APIs they can use to "turn virtually any data into an asset anytime and anywhere." The platform entered beta in 2014 and offers more than offers more than 60 APIs.
This portion of our series about the Most Interesting APIs in 2019 includes APIs developers could utilize for data manipulation purposes, such as accessing data, extracting data from web sources, creating reports and visualizations, database administration, linking data in apps, and more.