Well, certainly. It’s not like TensorFlow has stood still for all that time. TensorFlow 1.x was all about building static graphs in a very un-Python manner, but with the TensorFlow 2.x line, you ...

TensorFlow was released by Google's Rank Brain in 2017. The open source AI framework is used around the world thanks to its unique features TensorFlow isn't new, but Google keeps making it a ...

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 ...

TensorFlow is an open source machine learning framework developed by Google, designed to build and train AI models for a wide range of applications. The tool is widely used in industries such as ...

TensorFlow Lite, Google’s framework for executing machine learning on less powerful hardware, now supports Raspberry Pi, in addition to Android and iOS devices. Event VB Transform 2023 On-Demand ...

At its GPU Technology Conference, Nvidia announced several partnerships and launched updates to its software platforms that it claims will expand the potential inference market to 30 million ...

“TensorFlow’s integration with Nvidia TensorRT now delivers up to 8x higher inference throughput (compared to regular GPU execution within a low-latency target) on Nvidia deep learning platforms with ...

TensorFlow is an open-source machine learning and deep learning framework created by Google Brain in 2015. It provides a flexible and efficient ecosystem for building and training AI models ...