Of all the excellent machine learning and deep learning frameworks available, TensorFlow is the most mature, has the most citations in research papers (even excluding citations from Google ...

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 ...

How developers do AIDeveloped and released by the Google Brain Team in November 2015, the framework received a major update in 2019 in the form of TensorFlow 2.0. TensorFlow applications can run ...

CEVA's low-power vision processors and CDNN2 framework could help a wide variety of developers get TensorFlow working on their devices." Using a set of enhanced APIs, CDNN2 improves the overall system ...

TensorFlow Lite, Google’s framework for executing machine learning on less powerful hardware, now supports Raspberry Pi, in addition to Android and iOS devices.

Hardware support is now available for TensorFlow from NVIDIA and Movidius, intended to accelerate the use of deep neural networks for machine learning applications. Each framework has advantages ...

Apple created a fork, that is their own version, of TensorFlow that is specifically optimized for macOS Big Sur on M1 processors. The difference with the regular TensorFlow on older Macs is that ...

In steps TonY, LinkedIn's framework to natively run TensorFlow on Hadoop. The core idea is to run TensorFlow jobs as reliably and flexibly as other first-class citizens on Hadoop including ...