Build your own Machine Learning Visualizations with the new TensorBoard API
Posted by Chi Zeng and Justine Tunney, Software Engineers, Google Brain Team When we open-sourced TensorFlow in 2015, it included TensorBoard, a suite of visualizations for inspecting and understanding your TensorFlow models and runs. Tensorboard included a small, predetermined set of visualizations that are generic and applicable to nearly all deep learning applications such as observing how loss
Announcing Guetzli: A New Open Source JPEG Encoder
Posted by Robert Obryk and Jyrki Alakuijala, Software Engineers, Google Research Europe (Cross-posted on the Google Open Source Blog) At Google, we care about giving users the best possible online experience, both through our own services and products and by contributing new tools and industry standards for use by the online community. That’s why we’re excited to announce Guetzli, a new open sourc
Announcing TensorFlow 1.0
Posted by Amy McDonald Sandjideh, Technical Program Manager, TensorFlow In just its first year, TensorFlow has helped researchers, engineers, artists, students, and many others make progress with everything from language translation to early detection of skin cancer and preventing blindness in diabetics. We’re excited to see people using TensorFlow in over 6000 open-source repositories online. Tod
Inceptionism: Going Deeper into Neural Networks
Posted by Alexander Mordvintsev, Software Engineer, Christopher Olah, Software Engineering Intern and Mike Tyka, Software Engineer Update - 13/07/2015 Images in this blog post are licensed by Google Inc. under a Creative Commons Attribution 4.0 International License. However, images based on places by MIT Computer Science and AI Laboratory require additional permissions from MIT for use. Artificia
From Pixels to Actions: Human-level control through Deep Reinforcement Learning
Posted by Dharshan Kumaran and Demis Hassabis, Google DeepMind, London Remember the classic videogame Breakout on the Atari 2600? When you first sat down to try it, you probably learned to play well pretty quickly, because you already knew how to bounce a ball off a wall in real life. You may have even worked up a strategy to maximise your overall score at the expense of more immediate rewards. Bu
Building a deeper understanding of images
Posted by Christian Szegedy, Software Engineer The ImageNet large-scale visual recognition challenge (ILSVRC) is the largest academic challenge in computer vision, held annually to test state-of-the-art technology in image understanding, both in the sense of recognizing objects in images and locating where they are. Participants in the competition include leading academic institutions and industry
Google Research Blog
Posted by Srinivas Sunkara and Gilles Baechler, Software Engineers, Google Research Screen user interfaces (UIs) and infographics, such as charts, diagrams and tables, play important roles in human communication and human-machine interaction as they facilitate rich and interactive user experiences. UIs and infographics share similar design principles and visual language (e.g., icons and layouts),
Large-scale graph computing at Google
Posted by Grzegorz Czajkowski, Systems Infrastructure Team If you squint the right way, you will notice that graphs are everywhere. For example, social networks, popularized by Web 2.0, are graphs that describe relationships among people. Transportation routes create a graph of physical connections among geographical locations. Paths of disease outbreaks form a graph, as do games among soccer team
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Pulling Back the Curtain on Google’s Network Infrastructure
Beyond Short Snippets: Deep Networks for Video Classification
Large-Scale Machine Learning for Drug Discovery
Introducing Structured Snippets, now a part of Google Web Search
Influential Papers for 2013
We are joining the Open edX platform
Machine Learning Book for Students and Researchers
Sorting Petabytes with MapReduce - The Next Episode