Google announced yesterday that its Deep Learning algorithm, TensorFlow, has been open-sourced. According to Google, this is the second generation machine learning algorithm, with the first one ...

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 ...

At a presentation during Google I/O 2019, Google announced TensorFlow Graphics, a library for building deep neural networks for unsupervised learning tasks in computer vision. The library contains 3D ...

Google updates Search algorithm to help reduce spam and low-quality content. March 8, 2024. ... has been updated with integration with the open-source TensorFlow deep learning library.

TensorFlow seems to perform as well as anything out there for neural network and deep learning training, despite an early benchmark that falsely indicated otherwise because of differing GPU libraries.

New Technique Speeds up Deep-Learning Inference on TensorFlow by 2x Leia em Português Aug 27, 2019 2 ... There is also some overhead required to apply the LSH algorithm, ...

By releasing TensorFlow in 2015, Alphabet Inc (NASDAQ:GOOG) democratized access to powerful machine learning tools that enabled developers and businesses around the world to harness the potential ...

DistBelief was pretty good at deep learning—it helped win the all-important Large Scale Visual Recognition Challenge in 2014—but Dean says that TensorFlow is twice as fast.

TensorFlow was originally a deep learning research project of the Google Brain Team that has since become–by way of collaboration with 50 teams at Google–an open source library deployed across ...

Frameworks and tools for deploying deep learning algorithms Several frameworks and tools have emerged to facilitate the deployment of deep learning algorithms on embedded platforms. TensorFlow Lite, ...