May 29, 2020 —
Posted by Soonson Kwon, Biswajeet Mallik, and Siddhant Agarwal, Program Managers
TensorFlow User Groups (or TFUGs, for short) are a community of curious, passionate machine learning developers and researchers around the world. TFUGs play an important role in helping developers share their knowledge and experience in machine learning, and the latest TensorFlow updates. Google and the TensorFlow tea…
May 27, 2020 — By Shan Huang, Creative Technologist, Google Partner Innovation
May 21, 2020 —
A guest article by Mike Walmsley, University of Oxford
The way we do science is changing; there’s exponentially more data every day but around the same number of scientists. The traditional approach of collecting data samples, looking through them, and drawing some conclusions about each one is often inadequate.
May 20, 2020 —
Posted by Jessica Yung and Joan Puigcerver
In this article, we'll walk you through using BigTransfer (BiT), a set of pre-trained image models that can be transferred to obtain excellent performance on new datasets, even with only a few examples per class.
May 18, 2020 —
A guest post by Hugging Face: Pierric Cistac, Software Engineer; Victor Sanh, Scientist; Anthony Moi, Technical Lead.
Hugging Face 🤗 is an AI startup with the goal of contributing to Natural Language Processing (NLP) by developing tools to improve collaboration in the community, and by being an active part of research efforts.
April 29, 2020 —
Posted by Eric Johnson, TFRT Product Manager and Mingsheng Hong, TFRT Tech Lead/Manager
TensorFlow aims to make it easy for you to build and deploy ML models across many different devices. Yet, what it means to “build and deploy ML models” is not static and continues to change with increased investment in the ML ecosystem.
April 21, 2020 —
Posted by Laurence Moroney, AI Advocate
I’m excited to share an important aspect of the TensorFlow community: when educators and domain experts teach and train developers how to use machine learning technology to solve important tasks for a variety of scenarios, including in health care. To this end, deeplearning.ai and Coursera have launched an “AI for Medicine” specialization using TensorFlow.
April 20, 2020 —
Posted by Khanh LeViet, Developer Advocate on behalf of the TensorFlow Lite team
Edge devices, such as smartphones, have become more powerful each year and enable an increasing number of on-device machine learning use cases. TensorFlow Lite is the official framework for running TensorFlow model inference on edge devices. It runs on more than 4 billion active devices globally, on various platforms,…
April 17, 2020 —
Posted by Khanh LeViet and Luiz Gustavo Martins, Developer Advocates
Neural style transfer is an optimization technique used to take two images, a content image (such as a building) and a style image (such as artwork by an iconic painter), and blend them together so the output image looks like the content image “painted” in the style of the reference image. Today, we are excited to share a pre-tra…
April 15, 2020 —
Posted by Anirudh Sriram, Technical Writer, and Gal Oshri, Product Manager
Performance is a key consideration of successful ML research and production solutions. Faster model training leads to faster iterations and reduced overhead. It is sometimes an essential requirement to make a particular ML solution feasible.
April 14, 2020 — Posted by Khanh LeViet, Developer Advocate
April 13, 2020 —
Posted by the TensorFlow Team
When the TensorFlow YouTube channel launched in 2018, we had a vision to inform and inspire developers around the world about what was possible with Machine Learning. With series like Coding TensorFlow showing how you can use it, and Made with TensorFlow showing inspirational stories about what people have done with TensorFlow and much more, the channel has grown gre…
April 10, 2020 —
Posted by Sara Robinson, Developer Advocate
Google Cloud’s AI Platform recently added support for deploying TensorFlow 2 models. This lets you scalably serve predictions to end users without having to manage your own infrastructure. In this post, I’ll walk you through the process of deploying two different types of TF2 models to AI Platform and use them to generate predictions with the AI Platfo…
April 09, 2020 —
A guest post by Philipp Grashorn, Jonas Hansen and Marcel Rummens from Airbus
Airbus provides several services for the operation of the Columbus module and its payloads on the International Space Station (ISS). Columbus was launched in 2008 and is one of the main laboratories onboard the ISS. To ensure the health of the crew as well as hundreds of systems onboard the Columbus module, engineers ha…
April 08, 2020 — Posted by the TensorFlow Model Optimization team
April 07, 2020 —
Posted by Yannick Assogba, Software Engineer, Google Research
As TensorFlow.js is used more and more in production environments, our team recognizes the need for the community to be able to produce small, production optimized bundles for browsers that use TensorFlow.js. We have been laying out the groundwork for this and want to share our upcoming plans with you.
April 02, 2020 —
Posted by Tei Jeong and Karim Nosseir, Software Engineers
March 31, 2020 —
Posted by Jaeyoun Kim, Technical Program Manager, and Jing Li, Software Engineer
We would like to introduce an update to the Model Garden that provides TensorFlow users a centralized place to find code examples for state-of-the-art models and reusable modeling libraries for TensorFlow 2.
March 27, 2020 —
Posted by the TensorFlow Team
March 24, 2020 —
A guest post by Erwin John T. Carpio, MD
As a doctor and radiologist from the Philippines, I’ve always wanted to learn how to develop and apply machine learning (ML from here on) models to my field of practice. However, machine learning was like a foreign language to me when I began. I had limited programming experience, and without a formal computer science background, I felt this field would be…
