Deep-Learning-Summer-2015

KO | EN

gitlite — search

#python #hacktoberfest #react #typescript #llm #go #rust #docker #macos #java #vue #security #openai #open-source

Deep-Learning-Summer-2015

(★ 9)

No description available.

Deep-Learning-Summer-2015 Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Deep Learning Summer 2015
This is a list resources related to Deep Learning from this blog [post "DEEP LEARNING REVOLUTION, summer 2015, state of the art & topnotch links"](https://vzn1.wordpress.com/2015/09/01/deep-learning-revolution-summer-2015-state-of-the-art-topnotch-links/). I wanted to put up here so that other folks could add and remove some of the links that are not included or missedout on.

A. deep learning
    B. intro
    C. edu
    D. corp direction/ strategy
    E. papers
    F. adversarial
    G. profiles/ interviews
    H. revolution
    I. code/ pkgs/ open source
    J. dreaming/ inceptionism
    K. object/ image recognition
    L. facerec
    M. captioning/ labelling

**a. deep learning**

* 1\. [Google DeepMind][1]
* 2\. [DEEP LEARNING][2]
* 3\. [DeepFace: Closing the Gap to Human-Level Performance in Face Verification | Facebook][3]
* 4\. [Facebook will soon tag you in photos AUTOMATICALLY with DeepFace feature | Daily Mail Online][4]
* 5\. [Facebook's New 'DeepFace' Program Is Just As Creepy As It Sounds][5]
* 6\. [Research Blog: A picture is worth a thousand (coherent) words: building a natural description of images][6]
* 7\. [Andrew Ng – Machine Learning via Large-scale Brain Simulations – Technion lecture][7]
* 8\. [Video &amp; Audio: Deep Learning: Professor Geoffrey Hinton FRS, 25 June 2015 – Metadata][8]

**b. intro**

* 1\. [The Gigaom guide to deep learning: Who's doing it, and why it matters — Tech News and Analysis][9]
* 2\. [New Techniques from Google and Ray Kurzweil Are Taking Artificial Intelligence to Another Level | MIT Technology Review][10]
* 3\. [The Hot Yet Little-Known Trend That'll Supercharge AI | WIRED][11]
* 4\. [A Statistical View of Deep Learning (VI): What is Deep? ← The Spectator][12]
* 5\. ['Deep Learning' Will Soon Give Us Super-Smart Robots | WIRED][13]
* 6\. [Algorithms of the Mind — Deep Learning 101 — Medium][14]
* 7\. [Delving into Deep Learning » American Scientist][15]
* 8\. [Deep learning : Nature : Nature Publishing Group][16]
* 9\. [Deep Learning Machine Beats Humans in IQ Test | MIT Technology Review][17]
* 10\. [Scientists See Advances in Deep Learning, a Part of Artificial Intelligence – NYTimes.com][18]
* 11\. [Tombone's Computer Vision Blog: Deep down the rabbit hole: CVPR 2015 and beyond][19]
* 12\. [Researchers Announce Advance in Image-Recognition Software – NYTimes.com][20]

**c. edu**

* 1\. [Nikhil Buduma | A Deep Dive into Recurrent Neural Nets][21]
* 2\. [Nikhil Buduma | Deep Learning in a Nutshell][22]
* 3\. [Building and deploying large-scale machine learning pipelines – O'Reilly Radar][23]
* 4\. [Visualizing Representations: Deep Learning and Human Beings – colah's blog][24]
* 5\. [Deep stuff about deep learning? | I'm a bandit][25]
* 6\. [Deep Learning Courses][26]
* 7\. [Which GPU(s) to Get for Deep Learning: My Experience and Advice for Using GPUs in Deep Learning | Deep Learning][27]
* 8\. [Learn some Deep Learning in 2015 | Data Science 101][28]
* 9\. [What's Wrong With Deep Learning, LeCun CVPR keynote 2015][29]
[ ][29]

**d. corp direction/ strategy**

* 1\. [Deep Learning AI Experts In Demand at Google, Facebook, Twitter, IBM | Re/code][30]
* 2\. [What Facebook Wants With Artificial Intelligence : The New Yorker][31]
* 3\. [Facebook develops algorithm that will learn everything about you from photos and sell you ads | Mail Online][32]
* 4\. [The Mission to Bring Google's AI to Rest of the World | Enterprise | WIRED][33]
* 5\. [New Startup Sets Out to Bring Google-Style AI to the Masses | WIRED][34]
* 6\. [Google Is Working On A New Algorithm – Thought Vectors][35]
* 7\. [Google a step closer to developing machines with human-like intelligence | Science | The Guardian][36]
* 8\. [Microsoft Challenges Google's Artificial Brain With 'Project Adam' | Enterprise | WIRED][37]
* 9\. [Google's AI Masters Space Invaders (But It Still Stinks at Pac-Man) | MIT Technology Review][38]
* 10\. [Why Did Google Pay $400 Million for DeepMind? | MIT Technology Review][39]
* 11\. [Google's Secretive DeepMind Startup Unveils a "Neural Turing Machine" | MIT Technology Review][40]
* 12.&nbsp;[Trend to Watch Closely: Data and (Deep) Machine Learning][41]&nbsp;/ Rajat Taneja, VP Technology, Visa

**e. papers**

* 1\. [[1412.3409] Teaching Deep Convolutional Neural Networks to Play Go][42]
* 2\. [[1502.04156] Towards Biologically Plausible Deep Learning][43]
* 3\. [[1504.00641] A Probabilistic Theory of Deep Learning][44]
* 4\. [[1503.05743] Implementation of a Practical Distributed Calculation System with Browsers and JavaScript, and Application to Distributed Deep Learning][45]
* 5\. [Intriguing properties of neural networks / Szegedy et al][46]
* 6\. [Deep Learning in Neural Networks: An Overview / Schmidhuber][47]
* 7\. [Deep Boltzmann Machines / Hinton][48]
* 8\. [Deep Boltzmann Machines / Salakhutdinov, Hinton][48]
* 9\. [Human-level control through deep reinforcement learning : Nature : Nature Publishing Group][49]
* 10\. [Learning Deep Architectures for AI / Bengio][50]
* 11\. [NVidia/ Intro to deep learning with GPUs][51]
* 12\. [Paper by "Deep Learning Conspiracy" in Nature][52]

**f. adversarial**

* 1\. [The Flaw Lurking In Every Deep Neural Net][53]
* 2\. [Deep Learning Adversarial Examples – Clarifying Misconceptions][54]
* 3\. [How to Fool a Computer With Optical Illusions – The Atlantic][55]
* 4\. [Optical illusions fool computers into seeing things – tech – 11 December 2014 – New Scientist][56]

**g. profiles/ interviews**

* 1\. [Meet the Man Google Hired to Make AI a Reality | Wired Enterprise | Wired.com][57]
* 2\. [Andrew Ng: Why 'Deep Learning' Is a Mandate for Humans, Not Just Machines | WIRED][58]
* 3\. [Google Brain's Co-Inventor Tells Why He's Building Chinese Neural Networks — Backchannel — Medium][59]
* 4\. [Demis Hassabis, Founder of DeepMind Technologies and Artificial-Intelligence Wunderkind at Google, Wants Machines to Think Like Us | MIT Technology Review][60]
* 5\. [Facebook Taps 'Deep Learning' Giant for New AI Lab | Wired Enterprise | Wired.com][61]
* 6\. [Facebook's Quest to Build an Artificial Brain Depends on This Guy | Enterprise | WIRED][62]
* 7\. [RE.WORK | Blog – Deep Learning with Structure][63]
* 8\. [Getting Smarter| Dan Falk | Summer 2015 | University of Toronto Magazine][64]
* 9\. [Deep Learning Pioneer Pushing GPU Neural Network Limits][65]
* 10\. [A Googler's Quest to Teach Machines How to Understand Emotions | WIRED][66]
* 11.&nbsp;[Google search will be your next brain / Levy | Medium][67]

**h. revolution**

* 1\. [60 Years Later, Facebook Heralds New Dawn for Artificial Intelligence | Wired Enterprise | Wired.com][68]
* 2\. [The Three Breakthroughs That Have Finally Unleashed AI on the World | WIRED][69]
* 3\. [Breakthroughs in Artificial Intelligence from 2014 | MIT Technology Review][70]
* 4\. [The Brain vs Deep Learning Part I: Computational Complexity — Or Why the Singularity Is Nowhere Near | Deep Learning][71]

**i. code/ pkgs/ open source**

* 1\. [DIGITS: Deep Learning GPU Training System | Parallel Forall][72]
* 2\. [Deeplearning4j – Open-source, distributed deep learning for the JVM][73]
* 3\. [Facebook Open-Sources a Trove of AI Tools | WIRED][74]
* 4\. [Intel* Deep Learning Framework | 01.org][75]
* 5\. [Google's Deep Dream in PyCharm | JetBrains PyCharm Blog][76]
* 6\. [Popular Deep Learning Tools – a review][77]

**j. dreaming/ inceptionism**

* 1\. [Research Blog: DeepDream – a code example for visualizing Neural Networks][78]
* 2\. [Research Blog: Inceptionism: Going Deeper into Neural Networks][79]
* 3\. [machine learning – Google's Deep Dreamer – Computer Science Stack Exchange][80]
* 4\. [Yes, androids do dream of electric sheep | Technology | The Guardian][81]
* 5\. [AO – Visualizing GoogLeNet Classes][82]
* 6\. [LSD neural net – Jonas Degrave][83]
* 7\. [Google's Inceptionism AI creates bizarre images like Munch's The Scream as a dog | Daily Mail Online][84]
* 8\. [The algorithm that can learn to copy ANY artist: Neural network can recreate your snaps in the style of Van Gogh or Picasso | Daily Mail Online][85]
* 9\. [Google's artificial intelligence programme which they have TAUGHT to recognise images | Daily Mail Online][86]
* 10\. [Waterlogue App Turns Your Photos Into Incredible Works Of Art][87]

**k. object/ image recognition**

* 1\. [Computer algorithm picks history's 'most creative' paintings | Ars Technica][88]
* 2\. [Is time moving forward or backward? Computers learn to spot the difference | Science/AAAS | News][89]
* 3\. [Important step in artificial intelligence: Stylized letters classified by their images — ScienceDaily][90]
* 4\. [The AI Startup Google Should Probably Snatch Up Fast | Enterprise | WIRED][91]
* 5\. [The Algorithm That Thinks Like A Human ⚙ Co.Labs ⚙ code + community][92]
* 6\. [Where's Wally? There's an algorithm for that | Technology | The Guardian][93]
* 7\. [How Old – Fun, Wrong, Potentially Risky?][94]

**l. facerec**

* 1\. [Dubai police to use Google Glass for facial recognition][95]
* 2\. [Advances in Artificial Intelligence Will Let Software Extract Personal Data from Our Online Photos | MIT Technology Review][96]
* 3\. [A picture is worth 1000 words, but how many emotions? — ScienceDaily][97]
* 4\. [Facial recognition breakthrough: 'Deep Dense' software spots faces in images even if they're partially hidden or UPSIDE DOWN | Daily Mail Online][98]
* 5\. [How to Use GIFs to Teach Computers About Emotions | WIRED][99]
* 6\. [A Computer Algorithm Can See When You're Drunk | Popular Science][100]
* 7\. [Computers Now Can Recognize Human Faces From Any Angle][101]
* 8\. [First person to be arrested using facial recognition technology in Chicago sentenced to 22 years in prison | Mail Online][102]
* 9\. [Facial-recognition talks collapse over privacy issues – BBC News][103]
* 10\. [The Police Are Scanning the Faces of Every Single Person at Download | NOISEY][104]
* 11\. [Machine learning offers insights into evolution of monkey faces, researchers find — ScienceDaily][105]
* 12\. [The Robot That Knows When to Swipe Right – The Atlantic][106]
* 13\. [The Algorithm That Sees Beauty in Photographic Portraits — The Physics arXiv Blog — Medium][107]

**m. captioning/ labelling**

* 1\. [Stanford University CS231n: Convolutional Neural Networks for Visual Recognition][108]
* 2\. [Phys.Org Mobile: Newest computer neural networks can identify visual objects as well as the primate brain][109]
* 3\. [Microsoft Says Its Image Recognition Software Can Outperforms Humans][110]
* 4\. [Microsoft Research project can interpret, caption photos][111]
* 5\. [See-and-Tell AI Machine Can Describe Objects It Observes – Scientific American][112]
* 6\. [New computer program first to recognize sketches more accurately than a human — ScienceDaily][113]
* 7\. [Carnegie Mellon computer searches web 24/7 to analyze images and teach itself common sense | KurzweilAI][114]
* 8\. [Fei-Fei Li: How we're teaching computers to understand pictures | Talk Video | TED.com][115]
* 9\. [The Greatest Hits, and Misses, of an Image-Learning AI | DiscoverMagazine.com][116]
* 10\. [[1505.01809] Language Models for Image Captioning: The Quirks and What Works][117]
* 11\. [System designed to label visual scenes turns out to detect particular objects too — ScienceDaily][118]
* 12\. [Wolfram Language Artificial Intelligence: The Image Identification Project—Stephen Wolfram Blog][119]
* 13\. ['Visual' Turing test developed — ScienceDaily][120]

[1]: http://deepmind.com/publications.html
[2]: http://www.iro.umontreal.ca/~bengioy/dlbook/
[3]: https://www.facebook.com/publications/546316888800776/
[4]: http://www.dailymail.co.uk/sciencetech/article-2946186/Facebook-soon-tag-photos-AUTOMATICALLY-Social-network-starts-rolling-DeepFace-feature.html
[5]: http://www.huffingtonpost.com/2014/03/18/facebook-deepface-facial-recognition_n_4985925.html
[6]: http://googleresearch.blogspot.co.uk/2014/11/a-picture-is-worth-thousand-coherent.html
[7]: https://clip.mn/video/yt-5elcmFNRCWk
[8]: http://sms.cam.ac.uk/media/2017973?format=mpeg4&amp;quality=360p
[9]: http://gigaom.com/2013/11/01/the-gigaom-guide-to-deep-learning-whos-doing-it-and-why-it-matters/
[10]: http://www.technologyreview.com/featuredstory/513696/deep-learning/
[11]: http://www.wired.com/2015/02/hot-yet-little-known-trend-thatll-supercharge-ai/
[12]: http://blog.shakirm.com/2015/06/a-statistical-view-of-deep-learning-vi-what-is-deep/
[13]: http://www.wired.com/2015/05/remaking-google-facebook-deep-learning-tackles-robotics/
[14]: https://medium.com/deep-learning-101/algorithms-of-the-mind-10eb13f61fc4
[15]: http://www.americanscientist.org/issues/pub/2014/3/delving-into-deep-learning/1
[16]: http://www.nature.com/nature/journal/v521/n7553/full/nature14539.html
[17]: http://www.technologyreview.com/view/538431/deep-learning-machine-beats-humans-in-iq-test/
[18]: http://www.nytimes.com/2012/11/24/science/scientists-see-advances-in-deep-learning-a-part-of-artificial-intelligence.html?_r=0
[19]: http://www.computervisionblog.com/2015/06/deep-down-rabbit-hole-cvpr-2015-and.html
[20]: http://www.nytimes.com/2014/11/18/science/researchers-announce-breakthrough-in-content-recognition-software.html?_r=0
[21]: http://nikhilbuduma.com/2015/01/11/a-deep-dive-into-recurrent-neural-networks/
[22]: http://nikhilbuduma.com/2014/12/29/deep-learning-in-a-nutshell/
[23]: http://radar.oreilly.com/2015/01/building-and-deploying-large-scale-machine-learning-pipelines.html
[24]: http://colah.github.io/posts/2015-01-Visualizing-Representations/
[25]: https://blogs.princeton.edu/imabandit/2015/03/20/deep-stuff-about-deep-learning/
[26]: https://developer.nvidia.com/deep-learning-courses
[27]: https://timdettmers.wordpress.com/2014/08/14/which-gpu-for-deep-learning/
[28]: http://101.datascience.community/2015/01/07/learn-some-deep-learning-in-2015/
[29]: http://www.pamitc.org/cvpr15/files/lecun-20150610-cvpr-keynote.pdf
[30]: http://recode.net/2015/07/15/ai-conspiracy-the-scientists-behind-deep-learning/
[31]: http://www.newyorker.com/online/blogs/elements/2013/12/what-facebook-wants-with-artificial-intelligence.html?utm_source=www&amp;utm_medium=g+&amp;utm_campaign=20131209
[32]: http://www.dailymail.co.uk/news/article-2523772/Facebook-develops-algorithm-learn-photos-sell-ads.html
[33]: http://www.wired.com/2014/06/skymind-deep-learning/
[34]: http://www.wired.com/2014/12/new-startup-sets-bring-google-style-ai-masses/
[35]: https://wtvox.com/robotics/google-is-working-on-a-new-algorithm-thought-vectors
[36]: http://www.theguardian.com/science/2015/may/21/google-a-step-closer-to-developing-machines-with-human-like-intelligence
[37]: http://www.wired.com/2014/07/microsoft-adam/
[38]: http://www.technologyreview.com/view/535446/googles-ai-masters-space-invaders-but-it-still-stinks-at-pac-man/
[39]: http://www.technologyreview.com/news/524026/is-google-cornering-the-market-on-deep-learning/
[40]: http://www.technologyreview.com/view/532156/googles-secretive-deepmind-startup-unveils-a-neural-turing-machine/
[41]: https://www.linkedin.com/pulse/trend-watch-closely-data-deep-machine-learning-rajat-taneja
[42]: http://arxiv.org/abs/1412.3409
[43]: http://arxiv.org/abs/1502.04156
[44]: http://arxiv.org/abs/1504.00641
[45]: http://arxiv.org/abs/1503.05743
[46]: http://cs.nyu.edu/~zaremba/docs/understanding.pdf
[47]: http://www.idsia.ch/~juergen/DeepLearning2July2014.pdf
[48]: http://www.cs.toronto.edu/~hinton/absps/dbm.pdf
[49]: http://www.nature.com/nature/journal/v518/n7540/full/nature14236.html
[50]: http://www.iro.umontreal.ca/~bengioy/papers/ftml.pdf
[51]: http://on-demand.gputechconf.com/gtc/2015/webinar/deep-learning-course/intro-to-deep-learning.pdf
[52]: http://people.idsia.ch/~juergen/deep-learning-conspiracy.html?utm_campaign=Artificial%2BIntelligence%2BWeekly&amp;utm_medium=email&amp;utm_source=Artificial_Intelligence_Weekly_8
[53]: http://www.i-programmer.info/news/105-artificial-intelligence/7352-the-flaw-lurking-in-every-deep-neural-net.html
[54]: http://www.kdnuggets.com/2015/07/deep-learning-adversarial-examples-misconceptions.html
[55]: http://www.theatlantic.com/technology/archive/2014/12/how-to-fool-a-computer-with-optical-illusions/383779/
[56]: http://www.newscientist.com/article/dn26691
[57]: http://www.wired.com/wiredenterprise/2014/01/geoffrey-hinton-deep-learning/
[58]: http://www.wired.com/2015/05/andrew-ng-deep-learning-mandate-humans-not-just-machines/
[59]: https://medium.com/backchannel/google-brains-co-inventor-tells-why-hes-building-chinese-neural-networks-662d03a8b548
[60]: http://www.technologyreview.com/news/532876/googles-intelligence-designer/
[61]: http://www.wired.com/wiredenterprise/2013/12/facebook-yann-lecun/
[62]: http://www.wired.com/2014/08/deep-learning-yann-lecun/
[63]: https://www.re-work.co/blog/deep-learning-boston-charlie-tang
[64]: http://www.magazine.utoronto.ca/feature/getting-smarter-computer-science-professor-geoffrey-hinton-is-helping-to-build-a-new-generation-of-intelligent-machines/
[65]: http://www.theplatform.net/2015/05/11/deep-learning-pioneer-pushing-gpu-neural-network-limits/
[66]: http://www.wired.com/2014/12/googlers-quest-teach-machines-understand-emotions/
[67]: https://medium.com/backchannel/google-search-will-be-your-next-brain-5207c26e4523
[68]: http://www.wired.com/wiredenterprise/2013/12/facebook-deep-learning/
[69]: http://www.wired.com/2014/10/future-of-artificial-intelligence/
[70]: http://www.technologyreview.com/news/533686/2014-in-computing-breakthroughs-in-artificial-intelligence/
[71]: https://timdettmers.wordpress.com/2015/07/27/brain-vs-deep-learning-singularity/
[72]: http://devblogs.nvidia.com/parallelforall/digits-deep-learning-gpu-training-system/
[73]: http://deeplearning4j.org/
[74]: http://www.wired.com/2015/01/facebook-open-sources-trove-ai-tools/
[75]: https://01.org/intel-deep-learning-framework
[76]: http://blog.jetbrains.com/pycharm/2015/08/googles-deep-dream-in-pycharm/
[77]: http://www.kdnuggets.com/2015/06/popular-deep-learning-tools.html
[78]: http://googleresearch.blogspot.com/2015/07/deepdream-code-example-for-visualizing.html
[79]: http://googleresearch.blogspot.ch/2015/06/inceptionism-going-deeper-into-neural.html
[80]: http://cs.stackexchange.com/questions/44470/googles-deep-dreamer
[81]: http://www.theguardian.com/technology/2015/jun/18/google-image-recognition-neural-network-androids-dream-electric-sheep
[82]: http://auduno.com/post/125362849838/visualizing-googlenet-classes
[83]: http://317070.github.io/LSD/
[84]: http://www.dailymail.co.uk/sciencetech/article-3130654/From-pig-snail-lives-cloud-dumbells-human-arms-Google-reveals-bizarre-images-created-artificial-intelligence-software-learns-recognise-world-it.html
[85]: http://www.dailymail.co.uk/sciencetech/article-3214634/The-algorithm-learn-copy-artist-Neural-network-recreate-snaps-style-Van-Gogh-Picasso.html
[86]: http://www.dailymail.co.uk/news/article-3149466/A-nightmarish-vision-world-seen-eyes-Google-s-artificial-intelligence-programme-TAUGHT-recognise-sort-images.html
[87]: http://www.huffingtonpost.com/2014/02/18/waterlogue-app_n_4808204.html
[88]: http://arstechnica.com/science/2015/06/computer-algorithm-picks-historys-most-creative-paintings/
[89]: http://news.sciencemag.org/brain-behavior/2014/06/time-moving-forward-or-backward-computers-learn-spot-difference
[90]: http://www.sciencedaily.com/releases/2015/05/150511172843.htm
[91]: http://www.wired.com/2014/07/clarifai/
[92]: http://www.fastcolabs.com/3021474/open-company/the-algorithm-that-thinks-like-a-human?utm_source=facebook
[93]: http://www.theguardian.com/technology/2015/feb/06/wheres-wally-wheres-waldo-machine-learning-algorithm
[94]: http://www.i-programmer.info/news/105-artificial-intelligence/8550-how-old-fun-or-potentially-risky.html
[95]: http://www.networkworld.com/article/2690791/opensource-subnet/dubai-police-to-use-google-glass-for-facial-recognition.html
[96]: http://www.technologyreview.com/view/529396/software-that-can-see-will-change-privacy-forever/
[97]: http://www.sciencedaily.com/releases/2015/02/150206125249.htm
[98]: http://www.dailymail.co.uk/sciencetech/article-2958597/Facial-recognition-breakthrough-Deep-Dense-software-spots-faces-images-partially-hidden-UPSIDE-DOWN.html
[99]: http://www.wired.com/2015/03/gifs-teach-computers-emotion/
[100]: http://www.popsci.com/computer-algorithm-can-tell-when-youre-drunk
[101]: http://www.popularmechanics.com/technology/a14115/human-face-recognition-algorithm-yahoo/
[102]: http://www.dailymail.co.uk/news/article-2652232/First-person-arrested-using-facial-recognition-technology-Chicago-sentenced-22-years-prison.html
[103]: http://www.bbc.com/news/technology-33159612
[104]: http://noisey.vice.com/blog/download-festival-is-a-police-trial-ground-for-facial-recognition
[105]: http://www.sciencedaily.com/releases/2015/02/150203204258.htm
[106]: http://www.theatlantic.com/technology/archive/2015/02/the-tinder-bot-that-knows-when-to-swipe-right/385446/
[107]: https://medium.com/the-physics-arxiv-blog/the-algorithm-that-sees-beauty-in-photographic-portraits-435ab8064646
[108]: http://cs.stanford.edu/people/karpathy/deepimagesent/
[109]: http://m.phys.org/news/2014-12-neural-networks-visual-primate-brain.html
[110]: http://www.popularmechanics.com/technology/a14116/microsoft-image-recognition-outperforms-humans/
[111]: http://phys.org/news/2015-05-microsoft-photos.html
[112]: http://www.scientificamerican.com/article/see-and-tell-ai-machine-can-describe-objects-it-observes/
[113]: http://www.sciencedaily.com/releases/2015/07/150721081638.htm
[114]: http://www.kurzweilai.net/carnegie-mellon-computer-searches-web-247-to-analyze-images-and-teach-itself-common-sense
[115]: https://www.ted.com/talks/fei_fei_li_how_we_re_teaching_computers_to_understand_pictures
[116]: http://discovermagazine.com/2015/april/8-this-computers-always-in-school
[117]: http://arxiv.org/abs/1505.01809
[118]: http://www.sciencedaily.com/releases/2015/05/150508140346.htm
[119]: http://blog.stephenwolfram.com/2015/05/wolfram-language-artificial-intelligence-the-image-identification-project/
[120]: http://www.sciencedaily.com/releases/2015/03/150311124737.htm

Deep-Learning-Summer-2015

Deep-Learning-Summer-2015 Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Deep-Learning-Summer-2015

Deep-Learning-Summer-2015 Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README