March 03, 2021 — Posted by Daniel Ellis, TensorFlow EngineerNote: This blog post is aimed at TensorFlow developers who want to learn the details of how graphs and models are stored. If you are new to TensorFlow, you should check out the TensorFlow Basics guides before reading this article. TensorFlow can run models without the original Python objects, as demonstrated by TensorFlow Serving and TensorFlow Lite, o…
March 02, 2021 —
Posted by Luiz GUStavo Martins, Developer Advocate
March 01, 2021 — Posted by 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 greatly…
February 17, 2021 — Posted by Emily Fertig, Joshua V. Dillon, Wynn Vonnegut, Dave Moore, and the TensorFlow Probability team In this post, we introduce new tools for variational inference with joint distributions in TensorFlow Probability, and show how to use them to estimate Bayesian credible intervals for weights in a regression model. Overview Variational Inference (VI) casts approximate Bayesian inference as an …
February 15, 2021 —
A guest post by Larry Price, OpenXEdited by Robert Crowe, Anusha Ramesh - TensorFlow
February 10, 2021 —
A guest post by Fredrik Knutsson of Arm
February 09, 2021 — Posted by Biswajeet Mallik, Program Manager
January 28, 2021 —
Posted by Jonathan Dekhtiar (NVIDIA), Bixia Zheng (Google), Shashank Verma (NVIDIA), Chetan Tekur (NVIDIA)
January 22, 2021 — A guest post by Hugo Zanini, Machine Learning Engineer Object detection is the task of detecting where in an image an object is located and classifying every object of interest in a given image. In computer vision, this technique is used in applications such as picture retrieval, security cameras, and autonomous vehicles. One of the most famous families of Deep Convolutional Neural Networks (…
