It is the founder of TensorFlow, the most popular framework for building sophisticated machine learning and deep learning models. It also had Cloud ML Engine, a platform for training and deploying ...

That’s a big deal, and points to TensorFlow, or other similar projects, as the best on-ramp to machine learning for most organizations. Machine learning for nothing, predictions for free ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

I like to divide my machine learning education into two eras: I spent the first era learning how to build models with tools like scikit-learn and TensorFlow, which was hard and took forever.I ...

Machine is an IDE for building machine learning systems using TensorFlow. You can sign up for the alpha, but first, have a look at the video below to see what it is all about.

According to the TensorFlow site, Google open sourced the project to help standardize machine learning systems. “Research in this area is global and growing fast, but lacks standard tools ...

TensorFlow has become the most popular tool and framework for machine learning in a short span of time. It enjoys tremendous popularity among ML engineers and developers. According to the Hacker ...

TensorFlow's ecosystem includes TensorFlow Lite for mobile, TensorFlow.js for JavaScript, and various data visualization tools like TensorBoard. A Hands-On TensorFlow Project on Ubuntu. Setting up a ...

Google today announced the launch of version 0.8 of TensorFlow, its open source library for doing the hard computation work that makes machine learning possible.Normally, a small point update like ...

With this week's release of TensorFlow 1.0, Google has pushed the frontiers of machine learning further in a number of directions. TensorFlow isn't just for neural networks anymore ...