September 10, 2020 — Posted by Lu Wang, Chen Cen, Arun Venkatesan, Khanh LeViet
September 09, 2020 —
A guest post by ML GDEs Margaret Maynard-Reid (Tiny Peppers) and Sayak Paul (PyImageSearch)
September 02, 2020 —
Posted by Ann Yuan and Marat Dukhan, Software Engineers at Google
September 01, 2020 — A guest post by Rodrigo Carrasco-Davis & The ALeRCE Collaboration, Millennium Institute of Astrophysics, Chile
August 28, 2020 — A guest article by Vikram Dattu, Aditya Patwardhan, Kedar Sovani of Espressif Systems
August 26, 2020 —
Posted by Kensen Shi, Google Research
When manipulating tensors, one must keep track of multiple dimensions, tensor shape and DType compatibility, and of course mathematical correctness. Additionally, there are hundreds of TensorFlow operations, and finding the right ones to use can be a challenge.
August 25, 2020 —
A guest post by Rising Odegua, Independent Researcher; Stephen Oni, Data Science Nigeria
August 24, 2020 —
Posted by the TensorFlow Team
August 21, 2020 —
Posted by Dale Markowitz, Applied AI Engineer
Editor’s note: An earlier version of this article was published on Dale’s blog.
August 19, 2020 — A guest post by Somesh Mohapatra, Rafael Gómez-Bombarelli of MIT
August 17, 2020 —
Posted by Juhyun Lee and Raman Sarokin, Software Engineers
August 14, 2020 — Posted by Anusha Ramesh, Product Manager TFX, David Zats, Software Engineer TFX, Ping Yu, Software Engineer TensorFlow.js, Lamtharn (Hanoi) Hantrakul, AI Resident Magenta
August 11, 2020 —
A guest post by Mohamed Nour Abouelseoud, and Anton Kachatkou at Arm
We are excited to introduce a weight clustering API, proposed and contributed by Arm, to the TensorFlow Model Optimization Toolkit.
August 10, 2020 —
Posted by Andrea Skolik, Volkswagen AG and Leiden University
In early March, Google released TensorFlow Quantum (TFQ) together with the University of Waterloo and Volkswagen AG. TensorFlow Quantum is a software framework for quantum machine learning (QML) which allows researchers to jointly use functionality from Cirq and TensorFlow. Both Cirq and TFQ are aimed at simulating noisy intermediate-sc…
August 05, 2020 — Posted by Josh Gordon, Developer Advocate
August 03, 2020 —
Posted by Jonah Kohn and Pavithra Vijay, Software Engineers at Google
July 29, 2020 —
Posted by Pankaj Kanwar, Peter Brandt, and Zongwei Zhou from the TensorFlow Team
MLPerf, the industry standard for measuring machine learning performance, has released the latest benchmark results from the MLPerf Training v0.7 round. We’re happy to share that Google’s submissions demonstrate leading top-line performance (fastest time to reach target quality), with the ability to scale up to 4,000+…
July 27, 2020 —
Posted by Josh Gordon for the TensorFlow team
TensorFlow 2.3 has been released! The focus of this release is on new tools to make it easier for you to load and preprocess data, and to solve input-pipeline bottlenecks, whether you’re working on one machine, or many.
July 24, 2020 —
Posted by Marat Dukhan, Google Research
Leveraging the CPU for ML inference yields the widest reach across the space of edge devices. Consequently, improving neural network inference performance on CPUs has been among the top requests to the TensorFlow Lite team. We listened and are excited to bring you, on average, 2.3X faster floating-point inference through the integration of the XNNPACK libra…
