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.

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 ...

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

In this video, we will understand what is Keras and Tensorflow. Tensorflow is a free and open-source library for machine ...

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, ...

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 ...

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 ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

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 ...

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 ...