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SpaCy v1.0: Deep Learning with custom pipelines and Keras
I'm pleased to announce the 1.0 release of spaCy, the fastest NLP library in the world. By far the best part of the 1.0 release is a new system for integrating custom models into spaCy. This post introduces you to the changes, and shows you how to use the new custom pipeline functionality to add a Keras-powered LSTM…
Towards deep symbolic reinforcement learning
Towards deep symbolic reinforcement learning Garnelo et al, 2016 Every now and then I read a paper that makes a really strong connection with me, one where I can’t stop thinking about the imp…
Intel will add deep-learning instructions to its processors
Some of the latest Intel processors support the AVX-512 family of vector instructions. These instructions operate on blocks of 512 bits (or 64 bytes). The benefit of such wide instructions is that even without increasing the processor clock speed, systems can still process a lot more data. Most code today operators…
Differentiable Neural Computers
In a recent study in Nature, we introduce a form of memory-augmented neural network called a differentiable neural computer, and show that it can learn to use its memory to answer questions about complex, structured data, including artificially generated stories, family trees, and even a map of the London Underground…
Graph-Powered Machine Learning at Google
Posted by Sujith Ravi, Staff Research Scientist, Google ResearchRecently, there have been significant advances in Machine Learning that enable comp...
Cartographer – A real-time simultaneous localization and mapping library
The latest news from Google on open source releases, major projects, events, and outreach programs for early career developers.
How Robots Can Acquire New Skills from Their Shared Experience
Posted by Sergey Levine (Google Brain Team), Timothy Lillicrap (DeepMind), Mrinal Kalakrishnan (X)The ability to learn from experience will likely ...
Automatically grading multiple choice exams from photos using Python and OpenCV
Discover how to build a bubble sheet multiple choice scanner and test grader using Optical Mark Recognition (OMR) along with Python, OpenCV, computer vision
DeepMind AI Reduces Google Data Centre Cooling Bill by 40%
Reducing energy usage has been a major focus for us over the past 10 years: we have built our own super-efficient servers at Google, invented more efficient ways to cool our data centres and invested heavily in green energy sources, with the goal of being powered 100 percent by renewable energy.
Introducing the Open Images Dataset
Posted by Ivan Krasin and Tom Duerig, Software EngineersIn the last few years, advances in machine learning have enabled Computer Vision to progres...
Machine Learning 101: An Intro to Utilizing Decision Trees
Stay up-to-date with the latest news, practical tips & best practices from Qlik on data analytics, data integration, data literacy, and big data analytics.
Image Compression with Neural Networks
Posted by Nick Johnston and David Minnen, Software EngineersData compression is used nearly everywhere on the internet - the videos you watch onlin...
Announcing YouTube-8M: A Large and Diverse Labeled Video Dataset for Research
Posted by Sudheendra Vijayanarasimhan and Paul Natsev, Software EngineersMany recent breakthroughs in machine learning and machine perception have ...
How Convolutional Neural Networks Work
Find the rest of the How Neural Networks Work video series in this free online course .
How to Get a Job in Deep Learning
Explore resources and tools created to inspire creativity, perform deep learning, and equip your company with Voice AI best practices.
Show and Tell: Image captioning open sourced in TensorFlow
Posted by Chris Shallue, Software Engineer, Google Brain TeamIn 2014, research scientists on the Google Brain team trained a machine learning syste...
Where will the next major advance towards general purpose AI come from?
Artificial Intelligence (AI) is making progress in great strides, or at least it appears so! Almost no week passes by without some major announcements of new challenges solved by AI technology or new products powered by AI. Indeed many quantifiable factors attest an unprecedented level of activity: capital…
Gorgonia: a library like Theano or TensorFlow, mainly written in Go
I released Gorgonia on Thursday. Gorgonia is a library like Theano or TensorFlow, but mainly written in Go. It provides the necessary primitives for creating and executing neural networks and machine learning algorithms. According to cloc, these are the stats…