Take advantage of TensorFlow.js to develop and train machine learning models in JavaScript and deploy them in a browser or on Node.js ...

The WebGL-accelerated library works with the Node.js server-side JavaScript runtime, but isn’t on par with Tensorflow’s Python API Google’s TensorFlow open source machine learning library ...

On top of that, Google announced TensorFlow.js version 1.0 for the Javascript community. Google also introduced TF Federated, an add-on that lets users take advantage of decentralized data, as ...

Peterson’s team has been using TensorFlow JS (the initials stand for JavaScript) to build browser apps around that functionality.

TensorFlow also stated that the process for deploying models developed using JAX with TensorFlow Serving and to mobile and the web with TensorFlow Lite and TensorFlow.js will be made easier.

At the start of May, I decided to get TensorFlow Developer Certified. So I set myself up with a curriculum to sharpen my skills and took the certification — turns out, I passed. Let me tell you ...

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.

TensorFlow Lite 1.0 for lightweight machine learning on mobile and IoT devices made its debut today with a number of improvements and shared a dev roadmap.

TensorFlow Lite (TFLite) was announced in 2017 and Google is now calling it “LiteRT” to reflect how it supports third-party models. TensorFlow Lite for mobile on-device AI has “grown beyond ...