TensorFlow is an open-source collection of tools and libraries that helps developers build and train deep learning models. It ...

There is no real middle ground when it comes to TensorFlow use cases. Most implementations take place either in a single node or at the drastic Google-scale, with few scalability stories in between.

Google launched security measures in early 2017 that were designed to combat spam and phishing attacks in Gmail using machine learning models. The Mountain View-based giant claimed at the time that ...

TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...

Anybody who keeps up with tech news will tell you that AI technology, especially machine learning, is pretty awesome. The list of potential ways it could develop and become useful, or even ...

Around the Hackaday secret bunker, we’ve been talking quite a bit about machine learning and neural networks. There’s been a lot of renewed interest in the topic recently because of the success of ...

A pair of AI developers turned a $10 webcam into a motion-tracking system. It’s like a DIY Kinect with a Google brain. And best of all they named it Skeletron. The project, a collaboration between Or ...

Qualcomm revealed more info on its upcoming Snapdragon 835 mobile processor last week during CES 2017. However, its not done yet with reveals about its latest high-end chip. This week, it revealed ...

The first major release of Google's machine learning library includes improvements to allow efficient deep learning on mobile devices TensorFlow, Google’s open source deep learning framework, has ...

You’ll need Node/NPM installed to start. Then you can create a new directory and run npm init, and accept the defaults. Next, install TensorFlow by entering npm i ...