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Deep Learning Research Groups. ICML 2013 Challenges in Representation Learning. Deep Learning Job Listings. 8230; moving beyond shallow machine learning since 2006! MILA is Hiring Two Software Engineers. OpenAI: A new non-profit AI company. Conference on the Economics of Machine Intelligence-Dec 15. Open Discussion of ICLR 2016 Papers is Now Open. Software Developer Position at MILA. Welcome to Deep Learning. A list of deep learning research groups and labs,. As well as tutorials. Discuss on our WP Forum.

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Deep Learning Research Groups. ICML 2013 Challenges in Representation Learning. Deep Learning Job Listings. 8230; moving beyond shallow machine learning since 2006! MILA is Hiring Two Software Engineers. OpenAI: A new non-profit AI company. Conference on the Economics of Machine Intelligence-Dec 15. Open Discussion of ICLR 2016 Papers is Now Open. Software Developer Position at MILA. Welcome to Deep Learning. A list of deep learning research groups and labs,. As well as tutorials. Discuss on our WP Forum.

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Deep Learning | deeplearning.net Reviews

https://deeplearning.net

Deep Learning Research Groups. ICML 2013 Challenges in Representation Learning. Deep Learning Job Listings. 8230; moving beyond shallow machine learning since 2006! MILA is Hiring Two Software Engineers. OpenAI: A new non-profit AI company. Conference on the Economics of Machine Intelligence-Dec 15. Open Discussion of ICLR 2016 Papers is Now Open. Software Developer Position at MILA. Welcome to Deep Learning. A list of deep learning research groups and labs,. As well as tutorials. Discuss on our WP Forum.

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ICML 2013 Challenges in Representation Learning « Deep Learning

http://deeplearning.net/icml2013-workshop-competition

Deep Learning Research Groups. ICML 2013 Challenges in Representation Learning. Deep Learning Job Listings. 8230; moving beyond shallow machine learning since 2006! MILA is Hiring Two Software Engineers. OpenAI: A new non-profit AI company. Conference on the Economics of Machine Intelligence-Dec 15. Open Discussion of ICLR 2016 Papers is Now Open. Software Developer Position at MILA. ICML 2013 Challenges in Representation Learning. The full schedule for the workshop is available here. Nitish Srivastava a...

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Welcome — Theano 0.8.2 documentation

http://deeplearning.net/software/theano/index.html

Theano 0.8.2 (21th of April, 2016). Theano 0.8.1 (29th of March, 2016). Theano 0.8 (21th of March, 2016). Theano at a Glance. What does it do that they don’t? Alternative installation on Gentoo. Alternative installation on Mandriva 2010.2. Basic user install instructions. Troubleshooting: Make sure you have a BLAS library. In academia: Enthought Canopy. Editing code in Visual Studio. Matrix conventions for machine learning. Baby Steps - Algebra. Computing More than one Thing at the Same Time. Understandi...

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Using the GPU — Theano 0.8.2 documentation

http://deeplearning.net/software/theano/tutorial/using_gpu.html

Theano 0.8.2 (21th of April, 2016). Theano 0.8.1 (29th of March, 2016). Theano 0.8 (21th of March, 2016). Theano at a Glance. What does it do that they don’t? Alternative installation on Gentoo. Alternative installation on Mandriva 2010.2. Basic user install instructions. Troubleshooting: Make sure you have a BLAS library. In academia: Enthought Canopy. Editing code in Visual Studio. Matrix conventions for machine learning. Baby Steps - Algebra. Computing More than one Thing at the Same Time. Understandi...

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Welcome — Pylearn2 dev documentation

http://deeplearning.net/software/pylearn2

This project does not have any current developer. We will continue to review pull requests and merge them when appropriate, but do not expect new development unless someone decides to work on it. There are other machine learning frameworks built on top of Theano that could interest you, such as: Blocks. Don’t expect a clean road without bumps! If you find a bug please write to pylearn-dev @. Pylearn2 is a machine learning library. Most of its functionality is built on top of Theano. Pylearn2 differs from...

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Welcome — Theano 0.8.2 documentation

http://deeplearning.net/software/theano

Theano 0.8.2 (21th of April, 2016). Theano 0.8.1 (29th of March, 2016). Theano 0.8 (21th of March, 2016). Theano at a Glance. What does it do that they don’t? Alternative installation on Gentoo. Alternative installation on Mandriva 2010.2. Basic user install instructions. Troubleshooting: Make sure you have a BLAS library. In academia: Enthought Canopy. Editing code in Visual Studio. Matrix conventions for machine learning. Baby Steps - Algebra. Computing More than one Thing at the Same Time. Understandi...

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wired.com

How Ray Kurzweil Will Help Google Make the Ultimate AI Brain | WIRED

http://www.wired.com/business/2013/04/kurzweil-google-ai

Skip to: Start of article. Go to Wired Home Page. How Ray Kurzweil Will Help Google Make the Ultimate AI Brain. Subscribe now to get. 6 months for $5 - plus a FREE Portable. WIRED's biggest stories, delivered to your inbox. Tesla's cars have driven 140 million miles on autopilot. Here's how: bit.ly/2bq1pdy. Don't miss our latest news, features and videos. See what's inspiring us. Don't miss out on WIRED's latest videos. Skip Article Header. Skip to: Start of Article. Date of Publication: 04.25.13. Presum...

pribadihcr.wordpress.com

Getting Deep Learning Insight – Personal DayLight

https://pribadihcr.wordpress.com/2015/06/27/getting-deep-learning-insight

Getting Deep Learning Insight. June 27, 2015. July 27, 2015. 8212;——————————————————————————————. Https:/ www.coursera.org/course/neuralnets. 8220; It’s. Http:/ ufldl.stanford.edu/. 8212;——————————————————————————————. Https:/ www.coursera.org/course/ml. Taiwan where I live now,. Http:/ www.meetup.com/playdata/events/223166296/. Http:/ www.meetup.com/Taiwan-R/events/221362203/. Http:/ www.meetup.com/Taiwan-R/events/220799374/. Competition. From the result. And cs231b-The cutting edge of Computer Vision.

pribadihcr.wordpress.com

pribadihcr – Personal DayLight

https://pribadihcr.wordpress.com/author/pribadihcr

Getting Deep Learning Insight. June 27, 2015. July 27, 2015. 8212;——————————————————————————————. Https:/ www.coursera.org/course/neuralnets. 8220; It’s. Http:/ ufldl.stanford.edu/. 8212;——————————————————————————————. Https:/ www.coursera.org/course/ml. Taiwan where I live now,. Http:/ www.meetup.com/playdata/events/223166296/. Http:/ www.meetup.com/Taiwan-R/events/221362203/. Http:/ www.meetup.com/Taiwan-R/events/220799374/. Competition. From the result. And cs231b-The cutting edge of Computer Vision.

artificial-intelligence.wikidot.com

Home - Artificial Intelligence

http://artificial-intelligence.wikidot.com/start

What is a Wiki Site? How to edit pages? How to join this site? It seems you have no tags attached to pages. To attach a tag simply click on the. Button at the bottom of any page. Add a new page. Synthetic Super Intelligence and the Transmutation of Humankind- A Roadmap to the Singularity and Beyond. The Technium: Will Spiritual Robots Replace Humanity by 2100? Ai Research - Creating a new form of life. Imperson - Conversational Bots Powered by Personality and Technology. Teaching Machines to Understand Us.

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Yoshua Bengio

http://www.iro.umontreal.ca/~bengioy

Community, and at Google. Announcing the Deep Learning Summer School 2016. More research highlights and selected recent papers. Recruitment: there are available positions. At all levels (MSc, PhD, post-doc, interns). Nature paper on Deep Learning. By Yann LeCun, Yoshua Bengio and Geoff Hinton (pdf). NIPS'2015 Deep Learning Tutorial. And the block of slides for the vision part. NIPS'2014 Deep Learning and Representation Learning Workshop. Deep Learning - an MIT Press book in preparation. His main research...

analyticsvidhya.com

Python Training | Python For Data Science | Learn Python

https://www.analyticsvidhya.com/learning-paths-data-science-business-analytics-business-intelligence-big-data/learning-path-data-science-python

LeaRn Data Science on R. Data Science in Python. DATA SCIENCE IN WEKA. Data Visualization with Tableau. Data Visualization with QlikView. Interactive Data Stories with D3.js. Learn everything about Analytics. LeaRn Data Science on R. Data Science in Python. DATA SCIENCE IN WEKA. Data Visualization with Tableau. Data Visualization with QlikView. Interactive Data Stories with D3.js. Learning paths – Data Science, Business Analytics, Business Intelligence and Big Data. Step 0: Warming up. If you face any ch...

srippa.wordpress.com

July | 2015 | Bits and pieces

https://srippa.wordpress.com/2015/07

A collection of items that interest me. July 24, 2015. May 6, 2016. Getting started with Deep learning. Structures list of videos, tutorials, courses on AI, cognitive computing and deep learning. Another link to various AI related resources. Tutorials and best data scientists to follow (2015). List of best blogs to follow (2015). Deep learning tutorial from Stanford. Deep learning in a nutshell:. Nandos de Freitas: YouTube video series. Deep learning summer school 2015. ML class 10-701 (2015). List of Py...

spektrum.de

Maschinenlernen: "Deep Learning" macht künstliche Intelligenz praxistauglich - Spektrum.de - Spektrum der Wissenschaft

http://www.spektrum.de/news/wie-maschinen-lernen-lernen/1220451

Melden Sie sich hier mit Ihren. Zugangsdaten an, um auf die entsprechenden Inhalte zugreifen zu können. Abo abschließen und Zugangsdaten bekommen. Spektrum - Die Woche. Spektrum - Die Woche. Maschinenlernen: "Deep Learning" macht künstliche Intelligenz praxistauglich - Spektrum.de. Hintergrund 14.01.2014 Drucken. Wie Maschinen lernen lernen. Deep Learning" bricht gerade alle Rekorde in der künstlichen Intelligenz. Dazu kombinieren Forscher ein eigentlich altes Verfahren mit gewaltigen Datenmengen. Es sch...

colinzheng.com

Online Home for/of/by Colin Zheng

http://www.colinzheng.com/index.php/nggallery/thumbnails

I am now working on the buy-side of finance industry, as an independent portfolio manager. Prior to that, I spent 6 years at Goldman Sachs. Unexpectedly, I formerly worked as both a researcher and an engineer at Bing. The decision engine powered by Microsoft. My job was to tackle another search problem: web. In particular, I was working on the image. I completed my Ph.D in Department of Computer Science and Engineering. At University of Washington. At University of Washington. And have consulted a few IT...

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deeplearning.cc

Jimmy Ren's Home Page

Jimmy SJ. Ren 任思捷. Email: jimmy.sj.ren@gmail.com. I am currently a research scientist at SenseTime. I finished my Ph.D from City University of Hong Kong. In 2013. My research interests are: machine learning and deep learning with focus on deep convolutional neural networks, recurrent neural networks and their applications in computer vision, image processing, NLP and business. I am also interested in parallel computing on GPUs and Agile software development. See my one page. Find me on facebook. Wei Wang...

deeplearning.com

Deep Learning | Finding Meaning in the Patterns of Life

Finding Meaning in the Patterns of Life. If your gods are Alan Turing, John Carmack, and Gordon Moore, have designed your own processor, taped it out, and written a chess game for it, come join us. Please send resumes to adventure@deeplearning.com. Your Message Has Been Sent! Thank you for contacting us. Oops, An error has ocurred! See the marked fields above to fix the errors. Deep Learning Corporation is a 4Catalyzer Company. Deep Learning Corporation 2014.

deeplearning.cs.cmu.edu

11-785 DEEP LEARNING

1:30 pm - 2:50 pm. Http:/ deeplearning.cs.cmu.edu. Contact: email:bhiksha@cs.cmu.edu, Phone:8-9826, Office: GHC6705. Office hours: 3.30-5.00 Mondays. You may also meet me at other times if I'm free. TA: Zhenzhong (Danny) Lan, Volkan Cirik. The labs will exercise the basics of several aspects of implementation and investigation of these networks. Bain on Neural Networks. Brain and Cognition 33:295-305, 1997. Alan L. Wilkes and Nicholas J. Wade. WS McCulloch and W.H. Pitts. The First Computational Theory o...

deeplearning.cs.toronto.edu

Home - Toronto Deep Learning Demos

Toronto Deep Learning Demos. Enter an image URL. Example Images: click to classify and retrieve! Recent Searches: No Records. Recent searches require Cookies Enabled. Please help us improve results by clicking on check. Live demo of Deep Learning technologies from the Toronto Deep Learning group. Server and website created by Yichuan Tang. Deeplearning at cs . toronto . edu.

deeplearning.jp

Deep Learning | Heading for Real AI

Heading for Real AI. Welcome to Deep Learning Japan! Deep Learning は機械学習アルゴリズムの１つで, 人間の脳を模した構造をもつニューラルネットワークを多層に重ねた構造をもちます. Deep Learning の大きな特徴は, 多段に重ねることによって抽象的なテータの表現を獲得することができる点で, 真の人工知能への第一歩であると考えられます. すでに海外では盛んに研究されていますが, 知識の不足や実装面の難しさから研究をはじめるのが難しい状況です. 当研究室では週１回の研究ミーティングと研究活動を通して以下のような知見の蓄積を試みています. 本ページでは, 実装方法, 最新研究に関するサーベイ資料などを公開する予定です. Pylearn2 torch7 AWS Image (AMI). 人工知能学会チュートリアル Deep Learning 資料更新しました. Theme: Base WP by Iografica Themes.

deeplearning.net

Deep Learning

Deep Learning Research Groups. ICML 2013 Challenges in Representation Learning. Deep Learning Job Listings. 8230; moving beyond shallow machine learning since 2006! MILA is Hiring Two Software Engineers. OpenAI: A new non-profit AI company. Conference on the Economics of Machine Intelligence-Dec 15. Open Discussion of ICLR 2016 Papers is Now Open. Software Developer Position at MILA. Welcome to Deep Learning. A list of deep learning research groups and labs,. As well as tutorials. Discuss on our WP Forum.

deeplearning.stanford.edu

Deep Learning

Deep Learning is a rapidly growing area of machine learning. To learn more, check out our deep learning tutorial. There is also an older version. Which has also been translated into Chinese. We recommend however that you use the new version. Our deep learning tutorial. Will teach you how to apply these algorithms to your own problems.

deeplearning2016.ieieweb.org

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deeplearning4j.org

Deeplearning4j: Open-source, Distributed Deep Learning for the JVM

Get a free preview of Deep Learning: A Practitioner's Approach. Deep Learning for Java. Open-Source, Distributed, Deep Learning Library for the JVM. Download SKIL Community Edition. Quick Reference: Layers and Functionality. Build Locally From Master. Use the Maven Build Tool. Or Configure DL4J in Ivy, Gradle, SBT etc. Swap CPUs for GPUs. Machine learning server API docs. Deep Learning Tutorial Index. Using Recurrent Nets in DL4J. Use ND4J for Scientific Computing. Build a Recommendation Engine With DL4J.

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