Articles about tensorflow

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Machine learning for dummies: You needn't go back to uni to use it

Artificial intelligence and its sub-domains look set to be the next major growth area for software developers, programmers, hackers and just about anyone who has anything to do with software. There doesn't appear to be an area of life that it doesn't touch – self-driving cars, tagging porn stars on Pornhub, healthcare, …
Andrew Cobley, 23 May 2018

Here is your low down on TensorFlow updates, France's AI strategy, and a new DeepMind lab

Roundup Here's your weekly AI roundup. There were new announcements from Nvidia's GPU Technology Conference and Google's TensorFlow Dev Summit while France announced its own national AI strategy in a report and vowed €1.5bn in public funding. TensorFlow conference - Google hosted the TensorFlow Dev Summit on Friday in Mountain View, …
Katyanna Quach, 31 Mar 2018
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Machine learning library TensorFlow can count to potato... I mean, 1.7

Open-source machine-learning boffins rejoice! Numerical computation library TensorFlow 1.7.0 made a discreet appearance this morning, just a month after 1.6 dropped. TensorFlow was originally developed by Google Brain for internal use before going open source in November 2015. The processor-intensive library makes full use of …
Richard Speed, 29 Mar 2018
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IBM claims its machine learning library is 46x faster than TensorFlow

Analysis IBM boasts that machine learning is not just quicker on its POWER servers than on TensorFlow in the Google Cloud, it's 46 times quicker. Back in February Google software engineer Andreas Sterbenz wrote about using Google Cloud Machine Learning and TensorFlow on click prediction for large-scale advertising and recommendation …
Chris Mellor, 21 Mar 2018

Wanna gobble Google's custom chips? Now you can – its Cloud TPUs at $6.50 an hour

Google’s Cloud Tensor Processing Unit (TPU) chips are now available to rent on its cloud platform as a beta-grade service. The Cloud TPU – formerly known as the TPU2 – is the second generation of Google’s homegrown math accelerators geared towards AI and machine learning workloads that rely on TensorFlow. While the first …
Katyanna Quach, 12 Feb 2018

Winter is coming for AI. Fortunately, non-sci-fi definitions are actually doing worthwhile stuff

When British Prime Minister Theresa May bigged up AI at the World Economic Forum in Davos last month, it was as if she had nothing better to talk about. Name-dropping DeepMind, perhaps the only justification for her claim that the UK can be a "world leader in artificial intelligence", seemed a little desperate, especially as …
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Tensorflow Lite: Neat, but an ordeal to get running on your mobe

Late last year, Google announced a new mobile library for Tensorflow on mobile devices: Lite. If you didn't know by now, Tensorflow is Google's framework for developing machine-learning models on a large scale and is proving popular with the community – even if many developers choose to use a higher level abstraction on top of …
Andrew Cobley, 31 Jan 2018
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Facebook AI guru alt-tabs out, Nvidia EULA audits, Baidu changes, chip tricks, and more

Roundup Welcome to El Reg's January roundup of AI-related news beyond all the wonderful and terrible things we've covered separately. Drop us a line if you have any machine-learning news or gossip to share. Facebook AI chief LeCun steps aside – Yann LeCun, considered to be a pioneer of neural networks for computer vision, has stepped …
Katyanna Quach, 24 Jan 2018

Google boffins tease custom AI math-chip TPU2 stats: 45 TFLOPS, 16GB HBM, benchmarks

If you've been curious about the potential performance of Google's TPU2 – its second-generation custom neural-network math acceleration chip – well, here's an early Christmas present. Google engineering veteran Jeff Dean and fellow Googler Chris Ying unveiled a few more details [PDF] about the silicon at the Neural Information …
Katyanna Quach, 14 Dec 2017
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What do Tensor Flow, Caffe and Torch have in common? Open CVEs

Dabblers with prominent artificial intelligence tools have been warned and/or reminded to check their dependencies because some have open vulnerabilities. That warning came from Qixue Xiao and Deyue Zhang (from Quihoo's 360 Security Research Lab), Kang Li (University of Georgia) and Weilin Xu (University of Virginia), who …
His master's voice

Mozilla releases voice dataset and transcription engine

Mozilla has revealed an open speech dataset and a TensorFlow-based transcription engine. Mozilla floated "Project Common Voice" back in July 2017, when it called for volunteers to either submit samples of their speech or check machine translations of others' utterances. The project has since collected 500 hours of samples (in …

TensorFlow lightens up to land on smartmobes, then embed everywhere

Google's released an Android/iOS version of TensorFlow. The Chocolate Factory announced the developer preview of TensorFlow Lite in this Tuesday blog post. The post stated the release will initially target smartmobes, with later versions to target embedded devices. Google first revealed its desire for machine learning …
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AI is worth learning and not too tricky – if you can get your head around key frameworks

The hype around AI promises interesting work and fat paychecks, so no wonder everyone wants in. But the scarcity in talent means that researchers, engineers and developers are looking for ways to pick up new skills to get ahead. The best framework to get stuck into if you want to be employable in AI is probably TensorFlow, …
Katyanna Quach, 25 Oct 2017
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Do you Word2Vec? Google's neural-network bookworm

Several years back, the Google "Brain Team" that was behind Tensorflow hatched another novel neural tool: Word2Vec. Word2Vec is a two-layer neural net for processing text. It swallows a given set of text that it then returns as a set of vectors – turning the words into a numerical form that computers can understand. Word2Vec …
Andrew Cobley, 13 Oct 2017

Wanna get started with practical AI? Check out this chap's Rubik's Cube solving neural-net code

The Rubik’s Cube is one of those toys that just won't go away. Solving it is either something you can do in minutes to impress, or find so hard you end up using it as a paperweight. There are several algorithms for solving the classic cube, which has a whopping 43,252,003,274,489,856,000 – about 43 quintillion – possible …
Katyanna Quach, 25 Sep 2017

Wanna spend a day getting deeply hands-on with machine learning?

Events If you want to get deep and hands-on with machine learning, you'll be chuffed to know that we’ve added two more cracking workshops to our lineup at MCubed. On October 11, Laurent Catto will be delivering a workshop on Machine Learning with R, aimed at participants who are not experts in machine learning but have some …
Team Register, 31 Aug 2017
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If Machine Learning is the question, open source is the answer. Right?

Machine learning (ML) and artificial intelligence (AI) are extraordinarily hard to pull off in the real world, so of course the solution must be open source. From Google’s TensorFlow to Microsoft’s Cognitive Toolkit, the world is awash in open source ML/AI code... none of which seems to be solving the gaping void between AI hype …
Matt Asay, 30 Aug 2017
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The hidden horse power driving Machine Learning models

Machine Learning is becoming the only real available method to perform many modern computational tasks in near real time. Machine Vision, speech recognition and natural language processing have all proved difficult to crack without ML techniques. When it comes to hardware, the tasks themselves do not need a great deal of …
Andrew Cobley, 17 Jul 2017

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