- published: 07 Dec 2015
- views: 11264
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Are you overwhelmed by overly-technical explanations of Deep Learning? If so, this series will bring you up to speed on this fast-growing field – without any of the math or code.
Deep Learning is an important subfield of Artificial Intelligence (AI) that connects various topics like Machine Learning, Neural Networks, and Classification. The field has advanced significantly over the years due to the works of giants like Andrew Ng, Geoff Hinton, Yann LeCun, Adam Gibson, and Andrej Karpathy. Many companies have also invested heavily in Deep Learning and AI research - Google with DeepMind and its Driverless car, nVidia with CUDA and GPU computing, and recently Toyota with its new plan to allocate one billion dollars to AI research.
Deep Learning TV on
Facebook: https://www.facebook.com/DeepLearningTV/
Twitter: https://twitter.com/deeplearningtv
You've probably looked up videos on YouTube and found that most of them contain too much math for a beginner. The few videos that promise to just present concepts are usually still too high level for someone getting started. Any videos that show complicated code just make these problems worse for the viewers.
There’s nothing wrong with technical explanations, and to go far in this field you must understand them at some point. However, Deep Learning is a complex topic with a lot of information, so it can be difficult to know where to begin and what path to follow.
Does this resonate with you? What are your thoughts? Please comment.
The goal of this series is to give you a road map with enough detail that you’ll understand the important concepts, but not so much detail that you’ll feel overwhelmed. The hope is to further explain the concepts that you already know and bring to light the concepts that you need to know. In the end, you’ll be able to decide whether or not to invest additional time on this topic.
So while the math and the code are important, you will see neither in this series. The focus is on the intuition behind Deep Learning – what it is, how to use it, who’s behind it, and why it’s important. You'll first get an overview of Deep Learning and a brief introduction of how to choose between different models. Then we'll see some use cases. After that, we’ll discuss various Deep Learning tools including important software libraries and platforms where you can build your own Deep Nets.
Credits:
Nickey Pickorita (YouTube art) - https://www.youtube.com/user/Pickorita
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal
Artificial neural networks provide us incredibly powerful tools in machine learning that are useful for a variety of tasks ranging from image classification to voice translation. So what is all the deep learning rage about? The media seems to be all over the newest neural network research of the DeepMind company that was recently acquired by Google. They used neural networks to create algorithms that are able to play Atari games, learn them like a human would, eventually achieving superhuman performance.
Deep learning means that we use artificial neural network with multiple layers, making it even more powerful for more difficult tasks. These machine learning techniques proved to be useful for many tasks beyond image recognition: they also excel at weather predictions, breast cancer cell mitosis detection, brain image segmentation and toxicity prediction among many others.
In this episode, an intuitive explanation is given to show the inner workings of deep learning algorithms.
________________________
Original blog post by Christopher Olah (source of many images):
http://colah.github.io/posts/2014-03-NN-Manifolds-Topology/
You can train your own deep neural networks on Andrej Karpathy's website:
http://cs.stanford.edu/people/karpathy/convnetjs/demo/classify2d.html
Images used in this video:
Bunny by Tomi Tapio K (CC BY 2.0) - https://flic.kr/p/8EbcEk
Train by B4bees (CC BY 2.0) - https://flic.kr/p/6RzHe4
Train with bunny by Alyssa L. Miller (CC BY 2.0) - https://flic.kr/p/5WPeRN
The knot theory blackboard image was created by Clayton Shonkwiler (CC BY 2.0) https://flic.kr/p/64FYv
The tangled knot image was created by Mikael Hvidtfeldt Christensen (CC BY 2.0) https://flic.kr/p/beYG9D
The thumbnail image is a work of Duncan Hull (CC BY 2.0) - https://flic.kr/p/98qtJB
Subscribe if you would like to see more of these! - http://www.youtube.com/subscription_center?add_user=keeroyz
Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu
Károly Zsolnai-Fehér's links:
Patreon → https://www.patreon.com/TwoMinutePapers
Facebook → https://www.facebook.com/TwoMinutePapers/
Twitter → https://twitter.com/karoly_zsolnai
Web → https://cg.tuwien.ac.at/~zsolnai/
- published: 11 Nov 2015
- views: 8010
Google, Facebook & Amazon all use deep learning methods, but how does it work? Research Fellow & Deep Learning Expert Brais Martinez explains.
EXTRA BITS from this Video: https://youtu.be/knVMp_xrOlo
HTML: Poison or Panacea?: Coming Soon!
AI's Game Playing Challenge: https://youtu.be/5oXyibEgJr0
Pong & Object Oriented Programming: https://youtu.be/KyTUN6_Z9TM
Botnets: https://youtu.be/UVFmC178_Vs
http://www.facebook.com/computerphile
https://twitter.com/computer_phile
This video was filmed and edited by Sean Riley.
Computer Science at the University of Nottingham: http://bit.ly/nottscomputer
Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
- published: 19 Apr 2016
- views: 35677
Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
- published: 29 Jan 2015
- views: 87431
Deep Learning: Intelligence from Big Data
Tue Sep 16, 2014 6:00 pm - 8:30 pm
Stanford Graduate School of Business
Knight Management Center – Cemex Auditorium
641 Knight Way, Stanford, CA
A machine learning approach inspired by the human brain, Deep Learning is taking many industries by storm. Empowered by the latest generation of commodity computing, Deep Learning begins to derive significant value from Big Data. It has already radically improved the computer’s ability to recognize speech and identify objects in images, two fundamental hallmarks of human intelligence.
Industry giants such as Google, Facebook, and Baidu have acquired most of the dominant players in this space to improve their product offerings. At the same time, startup entrepreneurs are creating a new paradigm, Intelligence as a Service, by providing APIs that democratize access to Deep Learning algorithms. Join us on September 16, 2014 to learn more about this exciting new technology and be introduced to some of the new application domains, the business models, and the key players in this emerging field.
Moderator
Steve Jurvetson, Partner, DFJ Ventures
Panelists
Adam Berenzweig, Co-founder and CTO, Clarifai
Naveen Rao, Co-founder and CEO, Nervana Systems
Elliot Turner, Founder and CEO, AlchemyAPI
Ilya Sutskever, Research Scientist, Google Brain
Demo Companies**:
Clarifai | SkyMind | Ersatz Labs | AlchemyAPI
** Follow (@VLAB) on Twitter and Event Hashtag #VLABdl
- published: 31 Oct 2014
- views: 221366
Graduate Summer School: Deep Learning, Feature Learning
"Deep Learning, Self-Taught Learning and Unsupervised Feature Learning (Part 1 Slides1-68; Part 2 Slides 69-109)"
https://www.ipam.ucla.edu/publications/gss2012/gss2012_10595.pdf
- published: 14 May 2013
- views: 201165
Le deep learning, une technique qui révolutionne l'intelligence artificielle...et bientôt notre quotidien !
Le billet qui accompagne la vidéo : http://wp.me/p11Vwl-23E
Mon livre : http://science-etonnante.com/livre.html
Facebook : http://www.facebook.com/sciencetonnante
Twitter : http://www.twitter.com/dlouapre
Tipeee : http://www.tipeee.com/science-etonnante
Abonnez-vous : https://www.youtube.com/user/ScienceE...
La vidéo de Fei Fei Li à TED : https://www.ted.com/talks/fei_fei_li_how_we_re_teaching_computers_to_understand_pictures
La leçon inaugurale de Yann Le Cun au Collège de France : http://www.college-de-france.fr/site/yann-lecun/inaugural-lecture-2016-02-04-18h00.htm
Références :
==========
Russakovsky, Olga, et al. « Imagenet large scale visual recognition challenge. » International Journal of Computer Vision 115.3 (2015): 211-252. http://arxiv.org/pdf/1409.0575
Radford, Alec, Luke Metz, and Soumith Chintala. « Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. » arXiv preprint arXiv:1511.06434 (2015). http://arxiv.org/pdf/1511.06434
Zeiler, Matthew D., and Rob Fergus. « Visualizing and understanding convolutional networks. » Computer vision–ECCV 2014. Springer International Publishing, 2014. 818-833. http://arxiv.org/pdf/1311.2901
Vinyals, Oriol, et al. "Show and tell: A neural image caption generator." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015. http://arxiv.org/pdf/1411.4555.pdf
- published: 08 Apr 2016
- views: 4829
Learn more at http://nvda.ly/10eT66. Deep learning is the fastest-growing field in artificial intelligence (AI), helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural networks, computers now have the capacity to see, learn, and react to complex situations as well or better than humans. Today’s deep learning solutions rely almost exclusively on NVIDIA GPU-accelerated computing to train and speed up challenging applications such as image, handwriting, and voice identification.
- published: 22 Apr 2016
- views: 556
What happens when we teach a computer how to learn? Technologist Jeremy Howard shares some surprising new developments in the fast-moving field of deep learning, a technique that can give computers the ability to learn Chinese, or to recognize objects in photos, or to help think through a medical diagnosis. (One deep learning tool, after watching hours of YouTube, taught itself the concept of “cats.”) Get caught up on a field that will change the way the computers around you behave … sooner than you probably think.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more.
Find closed captions and translated subtitles in many languages at http://www.ted.com/translate
Follow TED news on Twitter: http://www.twitter.com/tednews
Like TED on Facebook: https://www.facebook.com/TED
Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
- published: 16 Dec 2014
- views: 190046
AlphaGo beat the Go World Champion 4-1. Why do it's creators not know how? Brais Martinez is a Research Fellow & Deep Learning expert at the University of Nottingham.
http://www.facebook.com/computerphile
https://twitter.com/computer_phile
This video was filmed and edited by Sean Riley.
Computer Science at the University of Nottingham: http://bit.ly/nottscomputer
Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
- published: 18 Mar 2016
- views: 3633
Deep learning is a sub-field within machine learning that is based on algorithms for learning multiple levels of representation in order to model complex relationships among data. Higher-level features and concepts are thus defined in terms of lower-level ones, and such a hierarchy of features is called a deep architecture; see Bengio (2009) for a review of the field. Most of these models are based on unsupervised learning of representations, and this makes them particularly useful to extract generic abstractions and features from a large corpus of examples, even when these examples are not necessarily labeled, as in semi-supervised learning, and not necessarily of the immediate tasks of interest, as in multi-task learning.
Attempts at training deep architectures (mostly neural networks) before 2006 failed, except for the special case of convolutional neural networks. One of the earliest successful implementations of a deep model (Hinton et al. 2006) involves learning the distribution of high level image (or possibly other data) features using successive layers of binary latent variables. However, real valued variables may also be used.
This page contains text from Wikipedia, the Free Encyclopedia -
http://en.wikipedia.org/wiki/Deep_learning
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
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3:47Deep Learning SIMPLIFIED: The Series Intro - Ep. 1
Deep Learning SIMPLIFIED: The Series Intro - Ep. 1Deep Learning SIMPLIFIED: The Series Intro - Ep. 1
Are you overwhelmed by overly-technical explanations of Deep Learning? If so, this series will bring you up to speed on this fast-growing field – without any of the math or code. Deep Learning is an important subfield of Artificial Intelligence (AI) that connects various topics like Machine Learning, Neural Networks, and Classification. The field has advanced significantly over the years due to the works of giants like Andrew Ng, Geoff Hinton, Yann LeCun, Adam Gibson, and Andrej Karpathy. Many companies have also invested heavily in Deep Learning and AI research - Google with DeepMind and its Driverless car, nVidia with CUDA and GPU computing, and recently Toyota with its new plan to allocate one billion dollars to AI research. Deep Learning TV on Facebook: https://www.facebook.com/DeepLearningTV/ Twitter: https://twitter.com/deeplearningtv You've probably looked up videos on YouTube and found that most of them contain too much math for a beginner. The few videos that promise to just present concepts are usually still too high level for someone getting started. Any videos that show complicated code just make these problems worse for the viewers. There’s nothing wrong with technical explanations, and to go far in this field you must understand them at some point. However, Deep Learning is a complex topic with a lot of information, so it can be difficult to know where to begin and what path to follow. Does this resonate with you? What are your thoughts? Please comment. The goal of this series is to give you a road map with enough detail that you’ll understand the important concepts, but not so much detail that you’ll feel overwhelmed. The hope is to further explain the concepts that you already know and bring to light the concepts that you need to know. In the end, you’ll be able to decide whether or not to invest additional time on this topic. So while the math and the code are important, you will see neither in this series. The focus is on the intuition behind Deep Learning – what it is, how to use it, who’s behind it, and why it’s important. You'll first get an overview of Deep Learning and a brief introduction of how to choose between different models. Then we'll see some use cases. After that, we’ll discuss various Deep Learning tools including important software libraries and platforms where you can build your own Deep Nets. Credits: Nickey Pickorita (YouTube art) - https://www.youtube.com/user/Pickorita Isabel Descutner (Voice) - https://www.youtube.com/user/IsabelDescutner Dan Partynski (Copy Editing) - https://www.linkedin.com/in/danielpartynski Marek Scibior (Prezi creator, Illustrator) - http://brawuroweprezentacje.pl/ Jagannath Rajagopal (Creator, Producer and Director) - https://ca.linkedin.com/in/jagannathrajagopal -
5:28Two+ Minute Papers - How Does Deep Learning Work?
Two+ Minute Papers - How Does Deep Learning Work?Two+ Minute Papers - How Does Deep Learning Work?
Artificial neural networks provide us incredibly powerful tools in machine learning that are useful for a variety of tasks ranging from image classification to voice translation. So what is all the deep learning rage about? The media seems to be all over the newest neural network research of the DeepMind company that was recently acquired by Google. They used neural networks to create algorithms that are able to play Atari games, learn them like a human would, eventually achieving superhuman performance. Deep learning means that we use artificial neural network with multiple layers, making it even more powerful for more difficult tasks. These machine learning techniques proved to be useful for many tasks beyond image recognition: they also excel at weather predictions, breast cancer cell mitosis detection, brain image segmentation and toxicity prediction among many others. In this episode, an intuitive explanation is given to show the inner workings of deep learning algorithms. ________________________ Original blog post by Christopher Olah (source of many images): http://colah.github.io/posts/2014-03-NN-Manifolds-Topology/ You can train your own deep neural networks on Andrej Karpathy's website: http://cs.stanford.edu/people/karpathy/convnetjs/demo/classify2d.html Images used in this video: Bunny by Tomi Tapio K (CC BY 2.0) - https://flic.kr/p/8EbcEk Train by B4bees (CC BY 2.0) - https://flic.kr/p/6RzHe4 Train with bunny by Alyssa L. Miller (CC BY 2.0) - https://flic.kr/p/5WPeRN The knot theory blackboard image was created by Clayton Shonkwiler (CC BY 2.0) https://flic.kr/p/64FYv The tangled knot image was created by Mikael Hvidtfeldt Christensen (CC BY 2.0) https://flic.kr/p/beYG9D The thumbnail image is a work of Duncan Hull (CC BY 2.0) - https://flic.kr/p/98qtJB Subscribe if you would like to see more of these! - http://www.youtube.com/subscription_center?add_user=keeroyz Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Patreon → https://www.patreon.com/TwoMinutePapers Facebook → https://www.facebook.com/TwoMinutePapers/ Twitter → https://twitter.com/karoly_zsolnai Web → https://cg.tuwien.ac.at/~zsolnai/ -
11:06Deep Learning - Computerphile
Deep Learning - ComputerphileDeep Learning - Computerphile
Google, Facebook & Amazon all use deep learning methods, but how does it work? Research Fellow & Deep Learning Expert Brais Martinez explains. EXTRA BITS from this Video: https://youtu.be/knVMp_xrOlo HTML: Poison or Panacea?: Coming Soon! AI's Game Playing Challenge: https://youtu.be/5oXyibEgJr0 Pong & Object Oriented Programming: https://youtu.be/KyTUN6_Z9TM Botnets: https://youtu.be/UVFmC178_Vs http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com -
52:16Deep Learning Lecture 1: Introduction
Deep Learning Lecture 1: IntroductionDeep Learning Lecture 1: Introduction
Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/ Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford. -
84:17Deep Learning: Intelligence from Big Data
Deep Learning: Intelligence from Big DataDeep Learning: Intelligence from Big Data
Deep Learning: Intelligence from Big Data Tue Sep 16, 2014 6:00 pm - 8:30 pm Stanford Graduate School of Business Knight Management Center – Cemex Auditorium 641 Knight Way, Stanford, CA A machine learning approach inspired by the human brain, Deep Learning is taking many industries by storm. Empowered by the latest generation of commodity computing, Deep Learning begins to derive significant value from Big Data. It has already radically improved the computer’s ability to recognize speech and identify objects in images, two fundamental hallmarks of human intelligence. Industry giants such as Google, Facebook, and Baidu have acquired most of the dominant players in this space to improve their product offerings. At the same time, startup entrepreneurs are creating a new paradigm, Intelligence as a Service, by providing APIs that democratize access to Deep Learning algorithms. Join us on September 16, 2014 to learn more about this exciting new technology and be introduced to some of the new application domains, the business models, and the key players in this emerging field. Moderator Steve Jurvetson, Partner, DFJ Ventures Panelists Adam Berenzweig, Co-founder and CTO, Clarifai Naveen Rao, Co-founder and CEO, Nervana Systems Elliot Turner, Founder and CEO, AlchemyAPI Ilya Sutskever, Research Scientist, Google Brain Demo Companies**: Clarifai | SkyMind | Ersatz Labs | AlchemyAPI ** Follow (@VLAB) on Twitter and Event Hashtag #VLABdl -
45:47Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature LearningAndrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
Graduate Summer School: Deep Learning, Feature Learning "Deep Learning, Self-Taught Learning and Unsupervised Feature Learning (Part 1 Slides1-68; Part 2 Slides 69-109)" https://www.ipam.ucla.edu/publications/gss2012/gss2012_10595.pdf -
20:07Le deep learning — Science étonnante #27
Le deep learning — Science étonnante #27Le deep learning — Science étonnante #27
Le deep learning, une technique qui révolutionne l'intelligence artificielle...et bientôt notre quotidien ! Le billet qui accompagne la vidéo : http://wp.me/p11Vwl-23E Mon livre : http://science-etonnante.com/livre.html Facebook : http://www.facebook.com/sciencetonnante Twitter : http://www.twitter.com/dlouapre Tipeee : http://www.tipeee.com/science-etonnante Abonnez-vous : https://www.youtube.com/user/ScienceE... La vidéo de Fei Fei Li à TED : https://www.ted.com/talks/fei_fei_li_how_we_re_teaching_computers_to_understand_pictures La leçon inaugurale de Yann Le Cun au Collège de France : http://www.college-de-france.fr/site/yann-lecun/inaugural-lecture-2016-02-04-18h00.htm Références : ========== Russakovsky, Olga, et al. « Imagenet large scale visual recognition challenge. » International Journal of Computer Vision 115.3 (2015): 211-252. http://arxiv.org/pdf/1409.0575 Radford, Alec, Luke Metz, and Soumith Chintala. « Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. » arXiv preprint arXiv:1511.06434 (2015). http://arxiv.org/pdf/1511.06434 Zeiler, Matthew D., and Rob Fergus. « Visualizing and understanding convolutional networks. » Computer vision–ECCV 2014. Springer International Publishing, 2014. 818-833. http://arxiv.org/pdf/1311.2901 Vinyals, Oriol, et al. "Show and tell: A neural image caption generator." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015. http://arxiv.org/pdf/1411.4555.pdf -
4:08Why is deep learning hot right now?
Why is deep learning hot right now?Why is deep learning hot right now?
Learn more at http://nvda.ly/10eT66. Deep learning is the fastest-growing field in artificial intelligence (AI), helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural networks, computers now have the capacity to see, learn, and react to complex situations as well or better than humans. Today’s deep learning solutions rely almost exclusively on NVIDIA GPU-accelerated computing to train and speed up challenging applications such as image, handwriting, and voice identification. -
19:50Jeremy Howard: The wonderful and terrifying implications of computers that can learn
Jeremy Howard: The wonderful and terrifying implications of computers that can learnJeremy Howard: The wonderful and terrifying implications of computers that can learn
What happens when we teach a computer how to learn? Technologist Jeremy Howard shares some surprising new developments in the fast-moving field of deep learning, a technique that can give computers the ability to learn Chinese, or to recognize objects in photos, or to help think through a medical diagnosis. (One deep learning tool, after watching hours of YouTube, taught itself the concept of “cats.”) Get caught up on a field that will change the way the computers around you behave … sooner than you probably think. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector -
11:06AlphaGo & Deep Learning - Computerphile
AlphaGo & Deep Learning - ComputerphileAlphaGo & Deep Learning - Computerphile
AlphaGo beat the Go World Champion 4-1. Why do it's creators not know how? Brais Martinez is a Research Fellow & Deep Learning expert at the University of Nottingham. http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
-
Deep Learning SIMPLIFIED: The Series Intro - Ep. 1
Are you overwhelmed by overly-technical explanations of Deep Learning? If so, this series will bring you up to speed on this fast-growing field – without any of the math or code. Deep Learning is an important subfield of Artificial Intelligence (AI) that connects various topics like Machine Learning, Neural Networks, and Classification. The field has advanced significantly over the years due to the works of giants like Andrew Ng, Geoff Hinton, Yann LeCun, Adam Gibson, and Andrej Karpathy. Many companies have also invested heavily in Deep Learning and AI research - Google with DeepMind and its Driverless car, nVidia with CUDA and GPU computing, and recently Toyota with its new plan to allocate one billion dollars to AI research. Deep Learning TV on Facebook: https://www.facebook.com/DeepL... -
Two+ Minute Papers - How Does Deep Learning Work?
Artificial neural networks provide us incredibly powerful tools in machine learning that are useful for a variety of tasks ranging from image classification to voice translation. So what is all the deep learning rage about? The media seems to be all over the newest neural network research of the DeepMind company that was recently acquired by Google. They used neural networks to create algorithms that are able to play Atari games, learn them like a human would, eventually achieving superhuman performance. Deep learning means that we use artificial neural network with multiple layers, making it even more powerful for more difficult tasks. These machine learning techniques proved to be useful for many tasks beyond image recognition: they also excel at weather predictions, breast cancer cell ... -
Deep Learning - Computerphile
Google, Facebook & Amazon all use deep learning methods, but how does it work? Research Fellow & Deep Learning Expert Brais Martinez explains. EXTRA BITS from this Video: https://youtu.be/knVMp_xrOlo HTML: Poison or Panacea?: Coming Soon! AI's Game Playing Challenge: https://youtu.be/5oXyibEgJr0 Pong & Object Oriented Programming: https://youtu.be/KyTUN6_Z9TM Botnets: https://youtu.be/UVFmC178_Vs http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com -
Deep Learning Lecture 1: Introduction
Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/ Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford. -
Deep Learning: Intelligence from Big Data
Deep Learning: Intelligence from Big Data Tue Sep 16, 2014 6:00 pm - 8:30 pm Stanford Graduate School of Business Knight Management Center – Cemex Auditorium 641 Knight Way, Stanford, CA A machine learning approach inspired by the human brain, Deep Learning is taking many industries by storm. Empowered by the latest generation of commodity computing, Deep Learning begins to derive significant value from Big Data. It has already radically improved the computer’s ability to recognize speech and identify objects in images, two fundamental hallmarks of human intelligence. Industry giants such as Google, Facebook, and Baidu have acquired most of the dominant players in this space to improve their product offerings. At the same time, startup entrepreneurs are creating a new paradigm, Intellige... -
Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
Graduate Summer School: Deep Learning, Feature Learning "Deep Learning, Self-Taught Learning and Unsupervised Feature Learning (Part 1 Slides1-68; Part 2 Slides 69-109)" https://www.ipam.ucla.edu/publications/gss2012/gss2012_10595.pdf -
Le deep learning — Science étonnante #27
Le deep learning, une technique qui révolutionne l'intelligence artificielle...et bientôt notre quotidien ! Le billet qui accompagne la vidéo : http://wp.me/p11Vwl-23E Mon livre : http://science-etonnante.com/livre.html Facebook : http://www.facebook.com/sciencetonnante Twitter : http://www.twitter.com/dlouapre Tipeee : http://www.tipeee.com/science-etonnante Abonnez-vous : https://www.youtube.com/user/ScienceE... La vidéo de Fei Fei Li à TED : https://www.ted.com/talks/fei_fei_li_how_we_re_teaching_computers_to_understand_pictures La leçon inaugurale de Yann Le Cun au Collège de France : http://www.college-de-france.fr/site/yann-lecun/inaugural-lecture-2016-02-04-18h00.htm Références : ========== Russakovsky, Olga, et al. « Imagenet large scale visual recognition challenge. » Intern... -
Why is deep learning hot right now?
Learn more at http://nvda.ly/10eT66. Deep learning is the fastest-growing field in artificial intelligence (AI), helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural networks, computers now have the capacity to see, learn, and react to complex situations as well or better than humans. Today’s deep learning solutions rely almost exclusively on NVIDIA GPU-accelerated computing to train and speed up challenging applications such as image, handwriting, and voice identification. -
Jeremy Howard: The wonderful and terrifying implications of computers that can learn
What happens when we teach a computer how to learn? Technologist Jeremy Howard shares some surprising new developments in the fast-moving field of deep learning, a technique that can give computers the ability to learn Chinese, or to recognize objects in photos, or to help think through a medical diagnosis. (One deep learning tool, after watching hours of YouTube, taught itself the concept of “cats.”) Get caught up on a field that will change the way the computers around you behave … sooner than you probably think. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, glo... -
AlphaGo & Deep Learning - Computerphile
AlphaGo beat the Go World Champion 4-1. Why do it's creators not know how? Brais Martinez is a Research Fellow & Deep Learning expert at the University of Nottingham. http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
Deep Learning SIMPLIFIED: The Series Intro - Ep. 1
- Order: Reorder
- Duration: 3:47
- Updated: 07 Dec 2015
- views: 11264
Are you overwhelmed by overly-technical explanations of Deep Learning? If so, this series will bring you up to speed on this fast-growing field – without any of...
Are you overwhelmed by overly-technical explanations of Deep Learning? If so, this series will bring you up to speed on this fast-growing field – without any of the math or code.
Deep Learning is an important subfield of Artificial Intelligence (AI) that connects various topics like Machine Learning, Neural Networks, and Classification. The field has advanced significantly over the years due to the works of giants like Andrew Ng, Geoff Hinton, Yann LeCun, Adam Gibson, and Andrej Karpathy. Many companies have also invested heavily in Deep Learning and AI research - Google with DeepMind and its Driverless car, nVidia with CUDA and GPU computing, and recently Toyota with its new plan to allocate one billion dollars to AI research.
Deep Learning TV on
Facebook: https://www.facebook.com/DeepLearningTV/
Twitter: https://twitter.com/deeplearningtv
You've probably looked up videos on YouTube and found that most of them contain too much math for a beginner. The few videos that promise to just present concepts are usually still too high level for someone getting started. Any videos that show complicated code just make these problems worse for the viewers.
There’s nothing wrong with technical explanations, and to go far in this field you must understand them at some point. However, Deep Learning is a complex topic with a lot of information, so it can be difficult to know where to begin and what path to follow.
Does this resonate with you? What are your thoughts? Please comment.
The goal of this series is to give you a road map with enough detail that you’ll understand the important concepts, but not so much detail that you’ll feel overwhelmed. The hope is to further explain the concepts that you already know and bring to light the concepts that you need to know. In the end, you’ll be able to decide whether or not to invest additional time on this topic.
So while the math and the code are important, you will see neither in this series. The focus is on the intuition behind Deep Learning – what it is, how to use it, who’s behind it, and why it’s important. You'll first get an overview of Deep Learning and a brief introduction of how to choose between different models. Then we'll see some use cases. After that, we’ll discuss various Deep Learning tools including important software libraries and platforms where you can build your own Deep Nets.
Credits:
Nickey Pickorita (YouTube art) - https://www.youtube.com/user/Pickorita
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal
wn.com/Deep Learning Simplified The Series Intro Ep. 1
Are you overwhelmed by overly-technical explanations of Deep Learning? If so, this series will bring you up to speed on this fast-growing field – without any of the math or code.
Deep Learning is an important subfield of Artificial Intelligence (AI) that connects various topics like Machine Learning, Neural Networks, and Classification. The field has advanced significantly over the years due to the works of giants like Andrew Ng, Geoff Hinton, Yann LeCun, Adam Gibson, and Andrej Karpathy. Many companies have also invested heavily in Deep Learning and AI research - Google with DeepMind and its Driverless car, nVidia with CUDA and GPU computing, and recently Toyota with its new plan to allocate one billion dollars to AI research.
Deep Learning TV on
Facebook: https://www.facebook.com/DeepLearningTV/
Twitter: https://twitter.com/deeplearningtv
You've probably looked up videos on YouTube and found that most of them contain too much math for a beginner. The few videos that promise to just present concepts are usually still too high level for someone getting started. Any videos that show complicated code just make these problems worse for the viewers.
There’s nothing wrong with technical explanations, and to go far in this field you must understand them at some point. However, Deep Learning is a complex topic with a lot of information, so it can be difficult to know where to begin and what path to follow.
Does this resonate with you? What are your thoughts? Please comment.
The goal of this series is to give you a road map with enough detail that you’ll understand the important concepts, but not so much detail that you’ll feel overwhelmed. The hope is to further explain the concepts that you already know and bring to light the concepts that you need to know. In the end, you’ll be able to decide whether or not to invest additional time on this topic.
So while the math and the code are important, you will see neither in this series. The focus is on the intuition behind Deep Learning – what it is, how to use it, who’s behind it, and why it’s important. You'll first get an overview of Deep Learning and a brief introduction of how to choose between different models. Then we'll see some use cases. After that, we’ll discuss various Deep Learning tools including important software libraries and platforms where you can build your own Deep Nets.
Credits:
Nickey Pickorita (YouTube art) - https://www.youtube.com/user/Pickorita
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal
- published: 07 Dec 2015
- views: 11264
Two+ Minute Papers - How Does Deep Learning Work?
- Order: Reorder
- Duration: 5:28
- Updated: 11 Nov 2015
- views: 8010
Artificial neural networks provide us incredibly powerful tools in machine learning that are useful for a variety of tasks ranging from image classification to ...
Artificial neural networks provide us incredibly powerful tools in machine learning that are useful for a variety of tasks ranging from image classification to voice translation. So what is all the deep learning rage about? The media seems to be all over the newest neural network research of the DeepMind company that was recently acquired by Google. They used neural networks to create algorithms that are able to play Atari games, learn them like a human would, eventually achieving superhuman performance.
Deep learning means that we use artificial neural network with multiple layers, making it even more powerful for more difficult tasks. These machine learning techniques proved to be useful for many tasks beyond image recognition: they also excel at weather predictions, breast cancer cell mitosis detection, brain image segmentation and toxicity prediction among many others.
In this episode, an intuitive explanation is given to show the inner workings of deep learning algorithms.
________________________
Original blog post by Christopher Olah (source of many images):
http://colah.github.io/posts/2014-03-NN-Manifolds-Topology/
You can train your own deep neural networks on Andrej Karpathy's website:
http://cs.stanford.edu/people/karpathy/convnetjs/demo/classify2d.html
Images used in this video:
Bunny by Tomi Tapio K (CC BY 2.0) - https://flic.kr/p/8EbcEk
Train by B4bees (CC BY 2.0) - https://flic.kr/p/6RzHe4
Train with bunny by Alyssa L. Miller (CC BY 2.0) - https://flic.kr/p/5WPeRN
The knot theory blackboard image was created by Clayton Shonkwiler (CC BY 2.0) https://flic.kr/p/64FYv
The tangled knot image was created by Mikael Hvidtfeldt Christensen (CC BY 2.0) https://flic.kr/p/beYG9D
The thumbnail image is a work of Duncan Hull (CC BY 2.0) - https://flic.kr/p/98qtJB
Subscribe if you would like to see more of these! - http://www.youtube.com/subscription_center?add_user=keeroyz
Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu
Károly Zsolnai-Fehér's links:
Patreon → https://www.patreon.com/TwoMinutePapers
Facebook → https://www.facebook.com/TwoMinutePapers/
Twitter → https://twitter.com/karoly_zsolnai
Web → https://cg.tuwien.ac.at/~zsolnai/
wn.com/Two Minute Papers How Does Deep Learning Work
Artificial neural networks provide us incredibly powerful tools in machine learning that are useful for a variety of tasks ranging from image classification to voice translation. So what is all the deep learning rage about? The media seems to be all over the newest neural network research of the DeepMind company that was recently acquired by Google. They used neural networks to create algorithms that are able to play Atari games, learn them like a human would, eventually achieving superhuman performance.
Deep learning means that we use artificial neural network with multiple layers, making it even more powerful for more difficult tasks. These machine learning techniques proved to be useful for many tasks beyond image recognition: they also excel at weather predictions, breast cancer cell mitosis detection, brain image segmentation and toxicity prediction among many others.
In this episode, an intuitive explanation is given to show the inner workings of deep learning algorithms.
________________________
Original blog post by Christopher Olah (source of many images):
http://colah.github.io/posts/2014-03-NN-Manifolds-Topology/
You can train your own deep neural networks on Andrej Karpathy's website:
http://cs.stanford.edu/people/karpathy/convnetjs/demo/classify2d.html
Images used in this video:
Bunny by Tomi Tapio K (CC BY 2.0) - https://flic.kr/p/8EbcEk
Train by B4bees (CC BY 2.0) - https://flic.kr/p/6RzHe4
Train with bunny by Alyssa L. Miller (CC BY 2.0) - https://flic.kr/p/5WPeRN
The knot theory blackboard image was created by Clayton Shonkwiler (CC BY 2.0) https://flic.kr/p/64FYv
The tangled knot image was created by Mikael Hvidtfeldt Christensen (CC BY 2.0) https://flic.kr/p/beYG9D
The thumbnail image is a work of Duncan Hull (CC BY 2.0) - https://flic.kr/p/98qtJB
Subscribe if you would like to see more of these! - http://www.youtube.com/subscription_center?add_user=keeroyz
Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu
Károly Zsolnai-Fehér's links:
Patreon → https://www.patreon.com/TwoMinutePapers
Facebook → https://www.facebook.com/TwoMinutePapers/
Twitter → https://twitter.com/karoly_zsolnai
Web → https://cg.tuwien.ac.at/~zsolnai/
- published: 11 Nov 2015
- views: 8010
Deep Learning - Computerphile
- Order: Reorder
- Duration: 11:06
- Updated: 19 Apr 2016
- views: 35677
Google, Facebook & Amazon all use deep learning methods, but how does it work? Research Fellow & Deep Learning Expert Brais Martinez explains.
EXTRA BITS from...
Google, Facebook & Amazon all use deep learning methods, but how does it work? Research Fellow & Deep Learning Expert Brais Martinez explains.
EXTRA BITS from this Video: https://youtu.be/knVMp_xrOlo
HTML: Poison or Panacea?: Coming Soon!
AI's Game Playing Challenge: https://youtu.be/5oXyibEgJr0
Pong & Object Oriented Programming: https://youtu.be/KyTUN6_Z9TM
Botnets: https://youtu.be/UVFmC178_Vs
http://www.facebook.com/computerphile
https://twitter.com/computer_phile
This video was filmed and edited by Sean Riley.
Computer Science at the University of Nottingham: http://bit.ly/nottscomputer
Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
wn.com/Deep Learning Computerphile
Google, Facebook & Amazon all use deep learning methods, but how does it work? Research Fellow & Deep Learning Expert Brais Martinez explains.
EXTRA BITS from this Video: https://youtu.be/knVMp_xrOlo
HTML: Poison or Panacea?: Coming Soon!
AI's Game Playing Challenge: https://youtu.be/5oXyibEgJr0
Pong & Object Oriented Programming: https://youtu.be/KyTUN6_Z9TM
Botnets: https://youtu.be/UVFmC178_Vs
http://www.facebook.com/computerphile
https://twitter.com/computer_phile
This video was filmed and edited by Sean Riley.
Computer Science at the University of Nottingham: http://bit.ly/nottscomputer
Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
- published: 19 Apr 2016
- views: 35677
Deep Learning Lecture 1: Introduction
- Order: Reorder
- Duration: 52:16
- Updated: 29 Jan 2015
- views: 87431
Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
Course taught in 2015 at the University of Oxford by Nando de Freitas with ...
Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
wn.com/Deep Learning Lecture 1 Introduction
Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford.
- published: 29 Jan 2015
- views: 87431
Deep Learning: Intelligence from Big Data
- Order: Reorder
- Duration: 84:17
- Updated: 31 Oct 2014
- views: 221366
Deep Learning: Intelligence from Big Data
Tue Sep 16, 2014 6:00 pm - 8:30 pm
Stanford Graduate School of Business
Knight Management Center – Cemex Auditorium
64...
Deep Learning: Intelligence from Big Data
Tue Sep 16, 2014 6:00 pm - 8:30 pm
Stanford Graduate School of Business
Knight Management Center – Cemex Auditorium
641 Knight Way, Stanford, CA
A machine learning approach inspired by the human brain, Deep Learning is taking many industries by storm. Empowered by the latest generation of commodity computing, Deep Learning begins to derive significant value from Big Data. It has already radically improved the computer’s ability to recognize speech and identify objects in images, two fundamental hallmarks of human intelligence.
Industry giants such as Google, Facebook, and Baidu have acquired most of the dominant players in this space to improve their product offerings. At the same time, startup entrepreneurs are creating a new paradigm, Intelligence as a Service, by providing APIs that democratize access to Deep Learning algorithms. Join us on September 16, 2014 to learn more about this exciting new technology and be introduced to some of the new application domains, the business models, and the key players in this emerging field.
Moderator
Steve Jurvetson, Partner, DFJ Ventures
Panelists
Adam Berenzweig, Co-founder and CTO, Clarifai
Naveen Rao, Co-founder and CEO, Nervana Systems
Elliot Turner, Founder and CEO, AlchemyAPI
Ilya Sutskever, Research Scientist, Google Brain
Demo Companies**:
Clarifai | SkyMind | Ersatz Labs | AlchemyAPI
** Follow (@VLAB) on Twitter and Event Hashtag #VLABdl
wn.com/Deep Learning Intelligence From Big Data
Deep Learning: Intelligence from Big Data
Tue Sep 16, 2014 6:00 pm - 8:30 pm
Stanford Graduate School of Business
Knight Management Center – Cemex Auditorium
641 Knight Way, Stanford, CA
A machine learning approach inspired by the human brain, Deep Learning is taking many industries by storm. Empowered by the latest generation of commodity computing, Deep Learning begins to derive significant value from Big Data. It has already radically improved the computer’s ability to recognize speech and identify objects in images, two fundamental hallmarks of human intelligence.
Industry giants such as Google, Facebook, and Baidu have acquired most of the dominant players in this space to improve their product offerings. At the same time, startup entrepreneurs are creating a new paradigm, Intelligence as a Service, by providing APIs that democratize access to Deep Learning algorithms. Join us on September 16, 2014 to learn more about this exciting new technology and be introduced to some of the new application domains, the business models, and the key players in this emerging field.
Moderator
Steve Jurvetson, Partner, DFJ Ventures
Panelists
Adam Berenzweig, Co-founder and CTO, Clarifai
Naveen Rao, Co-founder and CEO, Nervana Systems
Elliot Turner, Founder and CEO, AlchemyAPI
Ilya Sutskever, Research Scientist, Google Brain
Demo Companies**:
Clarifai | SkyMind | Ersatz Labs | AlchemyAPI
** Follow (@VLAB) on Twitter and Event Hashtag #VLABdl
- published: 31 Oct 2014
- views: 221366
Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
- Order: Reorder
- Duration: 45:47
- Updated: 14 May 2013
- views: 201165
Graduate Summer School: Deep Learning, Feature Learning
"Deep Learning, Self-Taught Learning and Unsupervised Feature Learning (Part 1 Slides1-68; Part 2 Slide...
Graduate Summer School: Deep Learning, Feature Learning
"Deep Learning, Self-Taught Learning and Unsupervised Feature Learning (Part 1 Slides1-68; Part 2 Slides 69-109)"
https://www.ipam.ucla.edu/publications/gss2012/gss2012_10595.pdf
wn.com/Andrew Ng Deep Learning, Self Taught Learning And Unsupervised Feature Learning
Graduate Summer School: Deep Learning, Feature Learning
"Deep Learning, Self-Taught Learning and Unsupervised Feature Learning (Part 1 Slides1-68; Part 2 Slides 69-109)"
https://www.ipam.ucla.edu/publications/gss2012/gss2012_10595.pdf
- published: 14 May 2013
- views: 201165
Le deep learning — Science étonnante #27
- Order: Reorder
- Duration: 20:07
- Updated: 08 Apr 2016
- views: 4829
Le deep learning, une technique qui révolutionne l'intelligence artificielle...et bientôt notre quotidien !
Le billet qui accompagne la vidéo : http://wp.me/p1...
Le deep learning, une technique qui révolutionne l'intelligence artificielle...et bientôt notre quotidien !
Le billet qui accompagne la vidéo : http://wp.me/p11Vwl-23E
Mon livre : http://science-etonnante.com/livre.html
Facebook : http://www.facebook.com/sciencetonnante
Twitter : http://www.twitter.com/dlouapre
Tipeee : http://www.tipeee.com/science-etonnante
Abonnez-vous : https://www.youtube.com/user/ScienceE...
La vidéo de Fei Fei Li à TED : https://www.ted.com/talks/fei_fei_li_how_we_re_teaching_computers_to_understand_pictures
La leçon inaugurale de Yann Le Cun au Collège de France : http://www.college-de-france.fr/site/yann-lecun/inaugural-lecture-2016-02-04-18h00.htm
Références :
==========
Russakovsky, Olga, et al. « Imagenet large scale visual recognition challenge. » International Journal of Computer Vision 115.3 (2015): 211-252. http://arxiv.org/pdf/1409.0575
Radford, Alec, Luke Metz, and Soumith Chintala. « Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. » arXiv preprint arXiv:1511.06434 (2015). http://arxiv.org/pdf/1511.06434
Zeiler, Matthew D., and Rob Fergus. « Visualizing and understanding convolutional networks. » Computer vision–ECCV 2014. Springer International Publishing, 2014. 818-833. http://arxiv.org/pdf/1311.2901
Vinyals, Oriol, et al. "Show and tell: A neural image caption generator." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015. http://arxiv.org/pdf/1411.4555.pdf
wn.com/Le Deep Learning — Science Étonnante 27
Le deep learning, une technique qui révolutionne l'intelligence artificielle...et bientôt notre quotidien !
Le billet qui accompagne la vidéo : http://wp.me/p11Vwl-23E
Mon livre : http://science-etonnante.com/livre.html
Facebook : http://www.facebook.com/sciencetonnante
Twitter : http://www.twitter.com/dlouapre
Tipeee : http://www.tipeee.com/science-etonnante
Abonnez-vous : https://www.youtube.com/user/ScienceE...
La vidéo de Fei Fei Li à TED : https://www.ted.com/talks/fei_fei_li_how_we_re_teaching_computers_to_understand_pictures
La leçon inaugurale de Yann Le Cun au Collège de France : http://www.college-de-france.fr/site/yann-lecun/inaugural-lecture-2016-02-04-18h00.htm
Références :
==========
Russakovsky, Olga, et al. « Imagenet large scale visual recognition challenge. » International Journal of Computer Vision 115.3 (2015): 211-252. http://arxiv.org/pdf/1409.0575
Radford, Alec, Luke Metz, and Soumith Chintala. « Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. » arXiv preprint arXiv:1511.06434 (2015). http://arxiv.org/pdf/1511.06434
Zeiler, Matthew D., and Rob Fergus. « Visualizing and understanding convolutional networks. » Computer vision–ECCV 2014. Springer International Publishing, 2014. 818-833. http://arxiv.org/pdf/1311.2901
Vinyals, Oriol, et al. "Show and tell: A neural image caption generator." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015. http://arxiv.org/pdf/1411.4555.pdf
- published: 08 Apr 2016
- views: 4829
Why is deep learning hot right now?
- Order: Reorder
- Duration: 4:08
- Updated: 22 Apr 2016
- views: 556
Learn more at http://nvda.ly/10eT66. Deep learning is the fastest-growing field in artificial intelligence (AI), helping computers make sense of infinite amount...
Learn more at http://nvda.ly/10eT66. Deep learning is the fastest-growing field in artificial intelligence (AI), helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural networks, computers now have the capacity to see, learn, and react to complex situations as well or better than humans. Today’s deep learning solutions rely almost exclusively on NVIDIA GPU-accelerated computing to train and speed up challenging applications such as image, handwriting, and voice identification.
wn.com/Why Is Deep Learning Hot Right Now
Learn more at http://nvda.ly/10eT66. Deep learning is the fastest-growing field in artificial intelligence (AI), helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural networks, computers now have the capacity to see, learn, and react to complex situations as well or better than humans. Today’s deep learning solutions rely almost exclusively on NVIDIA GPU-accelerated computing to train and speed up challenging applications such as image, handwriting, and voice identification.
- published: 22 Apr 2016
- views: 556
Jeremy Howard: The wonderful and terrifying implications of computers that can learn
- Order: Reorder
- Duration: 19:50
- Updated: 16 Dec 2014
- views: 190046
What happens when we teach a computer how to learn? Technologist Jeremy Howard shares some surprising new developments in the fast-moving field of deep learning...
What happens when we teach a computer how to learn? Technologist Jeremy Howard shares some surprising new developments in the fast-moving field of deep learning, a technique that can give computers the ability to learn Chinese, or to recognize objects in photos, or to help think through a medical diagnosis. (One deep learning tool, after watching hours of YouTube, taught itself the concept of “cats.”) Get caught up on a field that will change the way the computers around you behave … sooner than you probably think.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more.
Find closed captions and translated subtitles in many languages at http://www.ted.com/translate
Follow TED news on Twitter: http://www.twitter.com/tednews
Like TED on Facebook: https://www.facebook.com/TED
Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
wn.com/Jeremy Howard The Wonderful And Terrifying Implications Of Computers That Can Learn
What happens when we teach a computer how to learn? Technologist Jeremy Howard shares some surprising new developments in the fast-moving field of deep learning, a technique that can give computers the ability to learn Chinese, or to recognize objects in photos, or to help think through a medical diagnosis. (One deep learning tool, after watching hours of YouTube, taught itself the concept of “cats.”) Get caught up on a field that will change the way the computers around you behave … sooner than you probably think.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more.
Find closed captions and translated subtitles in many languages at http://www.ted.com/translate
Follow TED news on Twitter: http://www.twitter.com/tednews
Like TED on Facebook: https://www.facebook.com/TED
Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
- published: 16 Dec 2014
- views: 190046
AlphaGo & Deep Learning - Computerphile
- Order: Reorder
- Duration: 11:06
- Updated: 18 Mar 2016
- views: 3633
AlphaGo beat the Go World Champion 4-1. Why do it's creators not know how? Brais Martinez is a Research Fellow & Deep Learning expert at the University of Notti...
AlphaGo beat the Go World Champion 4-1. Why do it's creators not know how? Brais Martinez is a Research Fellow & Deep Learning expert at the University of Nottingham.
http://www.facebook.com/computerphile
https://twitter.com/computer_phile
This video was filmed and edited by Sean Riley.
Computer Science at the University of Nottingham: http://bit.ly/nottscomputer
Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
wn.com/Alphago Deep Learning Computerphile
AlphaGo beat the Go World Champion 4-1. Why do it's creators not know how? Brais Martinez is a Research Fellow & Deep Learning expert at the University of Nottingham.
http://www.facebook.com/computerphile
https://twitter.com/computer_phile
This video was filmed and edited by Sean Riley.
Computer Science at the University of Nottingham: http://bit.ly/nottscomputer
Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
- published: 18 Mar 2016
- views: 3633
-
Download FIRST CONTACT WITH TENSORFLOW: get started with deep learning programming PDF
All PDF, EPUB, MOBI, DOC, RTF for Free. Download : http://referenceebook.com/B01DUH73K4 FIRST CONTACT WITH TENSORFLOW: get started with deep learning programming You can get FIRST CONTACT WITH TENSORFLOW: get started with deep learning programming Paperback, Hardcover, Kindle Edition, Audible Audio Edition, Printed Access Code, Digital Access Code, Loose Leaf, Audio CD or Board Book on: http://www.amazon.fr/gp/reader/B01DUH73K4/?tag=prevread-20#reader_B01DUH73K4 Amazon.com seeks to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavors to offer its customers the lowest possible prices. Amazon.com and other sellers offer millions of unique new, refurbished and used items in categories such as Books; Movies, Mus... -
Download Artificial Intelligence for Humans Volume 3: Deep Learning and Neural Networks PDF
All PDF, EPUB, MOBI, DOC, RTF for Free. Download : http://referenceebook.com/B0184WRDEQ Artificial Intelligence for Humans Volume 3: Deep Learning and Neural Networks You can get Artificial Intelligence for Humans Volume 3: Deep Learning and Neural Networks Paperback, Hardcover, Kindle Edition, Audible Audio Edition, Printed Access Code, Digital Access Code, Loose Leaf, Audio CD or Board Book on: http://www.amazon.fr/gp/reader/B0184WRDEQ/?tag=prevread-20#reader_B0184WRDEQ Amazon.com seeks to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavors to offer its customers the lowest possible prices. Amazon.com and other sellers offer millions of unique new, refurbished and used items in categories such as Books; M... -
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- published: 11 Jun 2016
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June 11, 2016
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- Duration: 0:33
- Updated: 11 Jun 2016
- views: 5
This is a video I'm playing on my laptop. The video is a very slick documentary or infomercial on Artificial Intelligence and Deep learning by a company called ...
This is a video I'm playing on my laptop. The video is a very slick documentary or infomercial on Artificial Intelligence and Deep learning by a company called Andreeson Horowitz - which you can find here - http://a16z.com/2016/06/10/ai-deep-learning-machines/ At the end of the video the narrator said "AI is one of the funnest..." and at that point my laptop froze and well, there's the video. Profound as fuck ain't it :-)
wn.com/June 11, 2016
This is a video I'm playing on my laptop. The video is a very slick documentary or infomercial on Artificial Intelligence and Deep learning by a company called Andreeson Horowitz - which you can find here - http://a16z.com/2016/06/10/ai-deep-learning-machines/ At the end of the video the narrator said "AI is one of the funnest..." and at that point my laptop froze and well, there's the video. Profound as fuck ain't it :-)
- published: 11 Jun 2016
- views: 5
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- published: 11 Jun 2016
- views: 7
Large Scale Deep Learning with TensorFlow
- Order: Reorder
- Duration: 23:10
- Updated: 11 Jun 2016
- views: 135
- published: 11 Jun 2016
- views: 135
-
Geoffrey Hinton: "Introduction to Deep Learning & Deep Belief Nets"
Graduate Summer School 2012: Deep Learning, Feature Learning "Part 1: Introduction to Deep Learning & Deep Belief Nets" Geoffrey Hinton, University of Toronto Institute for Pure and Applied Mathematics, UCLA July 9, 2012 For more information: https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-deep-learning-feature-learning/?tab=overview -
NVIDIA Deep Learning Course: Class #1 – Introduction to Deep Learning
Register for the full course at https://developer.nvidia.com/deep-learning-courses. Also, watch more classes on deep learning: http://nvda.ly/R7vui. This first in a series of webinars Introduction to Deep Learning covers basics of Deep Learning, why it excels when running on GPUs, and the three major frameworks available for taking advantage of deep learning. -
Introduction to Deep Learning with Python
http://indico.io Alec Radford, Head of Research at indico Data Solutions, speaking on deep learning with Python and the Theano library. The emphasis of the talk is on high performance computing, natural language processing using recurrent neural nets, and large scale learning with GPUs. SlideShare presentation is available here: http://slidesha.re/1zs9M11 ____ indico is building the steel mill for the next industrial revolution. We are making productivity tools for data scientists at small and medium businesses by uniquely automating parts of their workflow. Like Adobe bringing the creative suite to desktop publishing, making every designer a web developer. indico is bringing tools and workflow to machine learning, making every programmer a 10x data scientist. Learn more at http://in... -
GPU Technology Conference 2015 day 3: What's Next in Deep Learning
GPU Technology Conference 2015 day 1: https://youtu.be/bMfHNyR0KJc GPU Technology Conference 2015 day 2: https://youtu.be/ENZoY4mLgDE GPU Technology Conference 2015 day 3: https://youtu.be/qP9TOX8T-kI GPU Technology Conference (GTC) is the largest and most important event of the year for GPU developers and the entire ecosystem. Large-Scale Deep Learning Featuring by Andrew Ng, Chief Scientist, Baidu. Don't forget to like, comment, and subscribe! Thank you. -
Deep learning - Yann LeCun, à l'USI
Informations et inscription sur http://www.usievents.com Jamais l'intelligence artificielle n'aura été aussi proche d'égaler l'intelligence naturelle qu'avec le deep learning. Notre compréhension actuelle de l'apprentissage machine, la disponibilité de données massives, d'ordinateurs parallèles rapides, et d'inspiration venant des neurosciences contribuent à l'explosion récente de cette nouvelle science qui depuis quelques années révolutionne l'état de l'art en reconnaissance de l'image et de la parole et en compréhension de la langue. Bien que les éléments techniques et scientifiques sous-jacents soient très complexes, la compréhension des principes fondamentaux du deep learning reste accessible à un public de non-initiés. Professeur à l’Université de New York, Yann LeCun est aujourd’hu... -
NVIDIA at CES 2016 - Self Driving Cars and Deep Learning GPUs
NVIDIA CEO Jen-Hsun Huang at CES 2016, in Las Vegas, January 4th.
Geoffrey Hinton: "Introduction to Deep Learning & Deep Belief Nets"
- Order: Reorder
- Duration: 65:17
- Updated: 24 Aug 2015
- views: 10435
Graduate Summer School 2012: Deep Learning, Feature Learning
"Part 1: Introduction to Deep Learning & Deep Belief Nets"
Geoffrey Hinton, University of Toronto
...
Graduate Summer School 2012: Deep Learning, Feature Learning
"Part 1: Introduction to Deep Learning & Deep Belief Nets"
Geoffrey Hinton, University of Toronto
Institute for Pure and Applied Mathematics, UCLA
July 9, 2012
For more information: https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-deep-learning-feature-learning/?tab=overview
wn.com/Geoffrey Hinton Introduction To Deep Learning Deep Belief Nets
Graduate Summer School 2012: Deep Learning, Feature Learning
"Part 1: Introduction to Deep Learning & Deep Belief Nets"
Geoffrey Hinton, University of Toronto
Institute for Pure and Applied Mathematics, UCLA
July 9, 2012
For more information: https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-deep-learning-feature-learning/?tab=overview
- published: 24 Aug 2015
- views: 10435
NVIDIA Deep Learning Course: Class #1 – Introduction to Deep Learning
- Order: Reorder
- Duration: 68:46
- Updated: 23 Jul 2015
- views: 22337
Register for the full course at https://developer.nvidia.com/deep-learning-courses. Also, watch more classes on deep learning: http://nvda.ly/R7vui. This first ...
Register for the full course at https://developer.nvidia.com/deep-learning-courses. Also, watch more classes on deep learning: http://nvda.ly/R7vui. This first in a series of webinars Introduction to Deep Learning covers basics of Deep Learning, why it excels when running on GPUs, and the three major frameworks available for taking advantage of deep learning.
wn.com/Nvidia Deep Learning Course Class 1 – Introduction To Deep Learning
Register for the full course at https://developer.nvidia.com/deep-learning-courses. Also, watch more classes on deep learning: http://nvda.ly/R7vui. This first in a series of webinars Introduction to Deep Learning covers basics of Deep Learning, why it excels when running on GPUs, and the three major frameworks available for taking advantage of deep learning.
- published: 23 Jul 2015
- views: 22337
Introduction to Deep Learning with Python
- Order: Reorder
- Duration: 52:41
- Updated: 03 Nov 2014
- views: 100972
http://indico.io
Alec Radford, Head of Research at indico Data Solutions, speaking on deep learning with Python and the Theano library. The emphasis of the tal...
http://indico.io
Alec Radford, Head of Research at indico Data Solutions, speaking on deep learning with Python and the Theano library. The emphasis of the talk is on high performance computing, natural language processing using recurrent neural nets, and large scale learning with GPUs.
SlideShare presentation is available here: http://slidesha.re/1zs9M11
____
indico is building the steel mill for the next industrial revolution. We are making productivity tools for data scientists at small and medium businesses by uniquely automating parts of their workflow.
Like Adobe bringing the creative suite to desktop publishing, making every designer a web developer. indico is bringing tools and workflow to machine learning, making every programmer a 10x data scientist.
Learn more at http://indico.io
wn.com/Introduction To Deep Learning With Python
http://indico.io
Alec Radford, Head of Research at indico Data Solutions, speaking on deep learning with Python and the Theano library. The emphasis of the talk is on high performance computing, natural language processing using recurrent neural nets, and large scale learning with GPUs.
SlideShare presentation is available here: http://slidesha.re/1zs9M11
____
indico is building the steel mill for the next industrial revolution. We are making productivity tools for data scientists at small and medium businesses by uniquely automating parts of their workflow.
Like Adobe bringing the creative suite to desktop publishing, making every designer a web developer. indico is bringing tools and workflow to machine learning, making every programmer a 10x data scientist.
Learn more at http://indico.io
- published: 03 Nov 2014
- views: 100972
GPU Technology Conference 2015 day 3: What's Next in Deep Learning
- Order: Reorder
- Duration: 67:40
- Updated: 20 Nov 2015
- views: 7444
GPU Technology Conference 2015 day 1: https://youtu.be/bMfHNyR0KJc
GPU Technology Conference 2015 day 2: https://youtu.be/ENZoY4mLgDE
GPU Technology Conference ...
GPU Technology Conference 2015 day 1: https://youtu.be/bMfHNyR0KJc
GPU Technology Conference 2015 day 2: https://youtu.be/ENZoY4mLgDE
GPU Technology Conference 2015 day 3: https://youtu.be/qP9TOX8T-kI
GPU Technology Conference (GTC) is the largest and most important event of the year for GPU developers and the entire ecosystem.
Large-Scale Deep Learning Featuring by Andrew Ng, Chief Scientist, Baidu.
Don't forget to like, comment, and subscribe! Thank you.
wn.com/Gpu Technology Conference 2015 Day 3 What's Next In Deep Learning
GPU Technology Conference 2015 day 1: https://youtu.be/bMfHNyR0KJc
GPU Technology Conference 2015 day 2: https://youtu.be/ENZoY4mLgDE
GPU Technology Conference 2015 day 3: https://youtu.be/qP9TOX8T-kI
GPU Technology Conference (GTC) is the largest and most important event of the year for GPU developers and the entire ecosystem.
Large-Scale Deep Learning Featuring by Andrew Ng, Chief Scientist, Baidu.
Don't forget to like, comment, and subscribe! Thank you.
- published: 20 Nov 2015
- views: 7444
Deep learning - Yann LeCun, à l'USI
- Order: Reorder
- Duration: 44:13
- Updated: 13 Jul 2015
- views: 6548
Informations et inscription sur http://www.usievents.com
Jamais l'intelligence artificielle n'aura été aussi proche d'égaler l'intelligence naturelle qu'avec l...
Informations et inscription sur http://www.usievents.com
Jamais l'intelligence artificielle n'aura été aussi proche d'égaler l'intelligence naturelle qu'avec le deep learning. Notre compréhension actuelle de l'apprentissage machine, la disponibilité de données massives, d'ordinateurs parallèles rapides, et d'inspiration venant des neurosciences contribuent à l'explosion récente de cette nouvelle science qui depuis quelques années révolutionne l'état de l'art en reconnaissance de l'image et de la parole et en compréhension de la langue.
Bien que les éléments techniques et scientifiques sous-jacents soient très complexes, la compréhension des principes fondamentaux du deep learning reste accessible à un public de non-initiés.
Professeur à l’Université de New York, Yann LeCun est aujourd’hui reconnu comme étant le spécialiste mondial de l’intelligence artificielle et a tout récemment rejoint Facebook pour travailler sur le nouveau programme FAIR (Facebook Artificial Intelligence Research) dont un des bureaux se trouve à Paris.
Cette session vous initiera à ce qui sera au cœur de l'intelligence artificielle de demain et de la R&D; de Facebook.
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wn.com/Deep Learning Yann Lecun, À L'Usi
Informations et inscription sur http://www.usievents.com
Jamais l'intelligence artificielle n'aura été aussi proche d'égaler l'intelligence naturelle qu'avec le deep learning. Notre compréhension actuelle de l'apprentissage machine, la disponibilité de données massives, d'ordinateurs parallèles rapides, et d'inspiration venant des neurosciences contribuent à l'explosion récente de cette nouvelle science qui depuis quelques années révolutionne l'état de l'art en reconnaissance de l'image et de la parole et en compréhension de la langue.
Bien que les éléments techniques et scientifiques sous-jacents soient très complexes, la compréhension des principes fondamentaux du deep learning reste accessible à un public de non-initiés.
Professeur à l’Université de New York, Yann LeCun est aujourd’hui reconnu comme étant le spécialiste mondial de l’intelligence artificielle et a tout récemment rejoint Facebook pour travailler sur le nouveau programme FAIR (Facebook Artificial Intelligence Research) dont un des bureaux se trouve à Paris.
Cette session vous initiera à ce qui sera au cœur de l'intelligence artificielle de demain et de la R&D; de Facebook.
Suivez USI sur Twitter : https://twitter.com/USIEvents
Retrouvez USI sur LinkedIn : http://linkd.in/13Ls21Y
Abonnez-vous à notre chaine : http://bit.ly/19sPpSp
- published: 13 Jul 2015
- views: 6548
NVIDIA at CES 2016 - Self Driving Cars and Deep Learning GPUs
- Order: Reorder
- Duration: 67:02
- Updated: 05 Jan 2016
- views: 1699
NVIDIA CEO Jen-Hsun Huang at CES 2016, in Las Vegas, January 4th.
- published: 05 Jan 2016
- views: 1699
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Deep Learning SIMPLIFIED: The Series Intro - Ep. 1
Are you overwhelmed by overly-technical explanations of Deep Learning? If so, this series ...
published: 07 Dec 2015
Deep Learning SIMPLIFIED: The Series Intro - Ep. 1
Deep Learning SIMPLIFIED: The Series Intro - Ep. 1
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- published: 07 Dec 2015
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Two+ Minute Papers - How Does Deep Learning Work?
Artificial neural networks provide us incredibly powerful tools in machine learning that a...
published: 11 Nov 2015
Two+ Minute Papers - How Does Deep Learning Work?
Two+ Minute Papers - How Does Deep Learning Work?
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11:06
Deep Learning - Computerphile
Google, Facebook & Amazon all use deep learning methods, but how does it work? Research F...
published: 19 Apr 2016
Deep Learning - Computerphile
Deep Learning - Computerphile
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52:16
Deep Learning Lecture 1: Introduction
Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
Cours...
published: 29 Jan 2015
Deep Learning Lecture 1: Introduction
Deep Learning Lecture 1: Introduction
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84:17
Deep Learning: Intelligence from Big Data
Deep Learning: Intelligence from Big Data
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published: 31 Oct 2014
Deep Learning: Intelligence from Big Data
Deep Learning: Intelligence from Big Data
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Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
Graduate Summer School: Deep Learning, Feature Learning
"Deep Learning, Self-Taught Learn...
published: 14 May 2013
Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
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20:07
Le deep learning — Science étonnante #27
Le deep learning, une technique qui révolutionne l'intelligence artificielle...et bientôt ...
published: 08 Apr 2016
Le deep learning — Science étonnante #27
Le deep learning — Science étonnante #27
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4:08
Why is deep learning hot right now?
Learn more at http://nvda.ly/10eT66. Deep learning is the fastest-growing field in artific...
published: 22 Apr 2016
Why is deep learning hot right now?
Why is deep learning hot right now?
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- published: 22 Apr 2016
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19:50
Jeremy Howard: The wonderful and terrifying implications of computers that can learn
What happens when we teach a computer how to learn? Technologist Jeremy Howard shares some...
published: 16 Dec 2014
Jeremy Howard: The wonderful and terrifying implications of computers that can learn
Jeremy Howard: The wonderful and terrifying implications of computers that can learn
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AlphaGo & Deep Learning - Computerphile
AlphaGo beat the Go World Champion 4-1. Why do it's creators not know how? Brais Martinez ...
published: 18 Mar 2016
AlphaGo & Deep Learning - Computerphile
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Download FIRST CONTACT WITH TENSORFLOW: get started with deep learning programming PDF
All PDF, EPUB, MOBI, DOC, RTF for Free. Download : http://referenceebook.com/B01DUH73K4
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published: 12 Jun 2016
Download FIRST CONTACT WITH TENSORFLOW: get started with deep learning programming PDF
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Download Artificial Intelligence for Humans Volume 3: Deep Learning and Neural Networks PDF
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Download Learning Unix for OS X: Going Deep With the Terminal and Shell PDF EPUB
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June 11, 2016
This is a video I'm playing on my laptop. The video is a very slick documentary or infomer...
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deep io
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Large Scale Deep Learning with TensorFlow
published: 11 Jun 2016
Large Scale Deep Learning with TensorFlow
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65:17
Geoffrey Hinton: "Introduction to Deep Learning & Deep Belief Nets"
Graduate Summer School 2012: Deep Learning, Feature Learning
"Part 1: Introduction to Dee...
published: 24 Aug 2015
Geoffrey Hinton: "Introduction to Deep Learning & Deep Belief Nets"
Geoffrey Hinton: "Introduction to Deep Learning & Deep Belief Nets"
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- views: 10435
68:46
NVIDIA Deep Learning Course: Class #1 – Introduction to Deep Learning
Register for the full course at https://developer.nvidia.com/deep-learning-courses. Also, ...
published: 23 Jul 2015
NVIDIA Deep Learning Course: Class #1 – Introduction to Deep Learning
NVIDIA Deep Learning Course: Class #1 – Introduction to Deep Learning
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52:41
Introduction to Deep Learning with Python
http://indico.io
Alec Radford, Head of Research at indico Data Solutions, speaking on dee...
published: 03 Nov 2014
Introduction to Deep Learning with Python
Introduction to Deep Learning with Python
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67:40
GPU Technology Conference 2015 day 3: What's Next in Deep Learning
GPU Technology Conference 2015 day 1: https://youtu.be/bMfHNyR0KJc
GPU Technology Conferen...
published: 20 Nov 2015
GPU Technology Conference 2015 day 3: What's Next in Deep Learning
GPU Technology Conference 2015 day 3: What's Next in Deep Learning
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44:13
Deep learning - Yann LeCun, à l'USI
Informations et inscription sur http://www.usievents.com
Jamais l'intelligence artificiel...
published: 13 Jul 2015
Deep learning - Yann LeCun, à l'USI
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67:02
NVIDIA at CES 2016 - Self Driving Cars and Deep Learning GPUs
NVIDIA CEO Jen-Hsun Huang at CES 2016, in Las Vegas, January 4th.
published: 05 Jan 2016
NVIDIA at CES 2016 - Self Driving Cars and Deep Learning GPUs
NVIDIA at CES 2016 - Self Driving Cars and Deep Learning GPUs
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Geoffrey Hinton: "Introduction to Deep Learning & ...
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photo: UN / Amanda Voisard
Abu Sayyaf Beheads Another Canadian Hostage As Deadline Passes
Edit WorldNews.com 13 Jun 2016
Another Canadian hostage held by the Abu Sayyaf terrorist group on a southern Philippine island after ransom demands apparently weren’t met, Al Jazeera reported Monday.The hostage, identified as Robert Hall, was confirmed dead by a military source who spoke to Al Jazeera on condition of anonymity prior to the official announcement, the report said....
photo: White House / Pete Souza
Obama: 'No Clear Evidence' Orlando Gunman Part Of Terror Plot [VIDEO]
Edit WorldNews.com 13 Jun 2016
In a televised address Monday, U.S. President Barack Obama said there is “no clear evidence” the suspected gunman in the worst mass shooting in U.S. history, Omar Mateen, was part of a larger terrorist plot or that he was directed by any terrorist group, Time magazine reported. “This an example of the kind of homegrown extremism that all of us have been so concerned about for a very long time.” – U.S. President Barack Obama....
photo: AP Photo/J. Scott Applewhite
House Democrats Stage Revolt During Moment of Silence
Edit WorldNews.com 14 Jun 2016
Democratic lawmakers broke out in jeers and criticism over House Speaker Paul Ryan and other Republican lawmakers for leaving the gun laws untouched a day after the tragic mass shooting in Orlando, according to the Associated Press ... The disruption began specifically after Rep ... Paul Ryan had no comments himself but his spokeswoman AshLee Strong tweeted that the Democratcs politicizing the moment of silence was "disheartening."....
photo: AP / Ross D. Franklin
Orlando shooting: Trump calls for Obama's resignation
Edit Deccan Herald 13 Jun 2016
Republican White House contender Donald Trump has called on President Barack Obama to resign for not using the term "radical Islamic terrorism" to describe the gay club massacre even as his Democratic rival Hillary Clinton backed redoubling of efforts to defeat terror groups ... For that reason alone, he should step down ... Law enforcement and intelligence agencies are hard at work and we will learn more in the hours and days ahead ... ....
photo: NASA / Kim Shiflett
Largest Planet Orbiting 2 Suns Ever Discovered
Edit WorldNews.com 14 Jun 2016
A team led by NASA and San Diego State University using the revolutionary Kepler planet-hunting telescope discovered the largest planet outside the solar system that orbits two suns according to ABC News. The planet is the size of Jupiter at 3,700 light-years away from Earth ... The first such planet was discovered in 2011 but was only the size of Saturn ... - WN.com, Maureen Foody. ....
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Business is waking up to the idea of deep learning (UNSW - The University of New South Wales)
Edit Public Technologies 14 Jun 2016
Deep learning, which uses a 'deep' neural networks, loosely modelled on the human brain, looks set to be an important component in the AI toolbox, writes Toby Walsh ... The secret behind DeepMind's success is deep learning, an exciting and very active branch of machine learning ... Deep learning is, however, good at much more than learning how to play games ... Deep learning uses a 'deep' neural network, loosely modelled on the human brain....
Apple is turning Siri into a next-level Artificial Intelligence
Edit Mashable 14 Jun 2016
At first blush, I'd say no ... SEE ALSO ... Hello, SiriKit ... Siri deep learning is going to be part of Quick Type ... "We're applying advanced, deep-learning techniques to bring facial recognition to the iPhone and it's all done locally on the device." ... According to Crunchbase, Perceptio was "developing 'deep learning' technology for smartphones, that allows phones to independently identify images without relying on external data libraries." ... ....
The Future Was on Display at Apple’s WWDC, Just Out of Sight
Edit Newsweek 14 Jun 2016
Apple’s Worldwide Developers Conference (WWDC) on Monday wasn’t revolutionary ... Try Newsweek. Subscription offers ... Probably not the best timing ... Apple also may end up with a product that doesn’t work as well, if everyone else is learning from their users’ data and Apple isn’t. There were also signs about how “deep learning” and AI in general will change our lives ... But until then, I’m guessing, Siri is watching, and learning. ....
Apple promises to deliver AI smarts without sacrificing your privacy
Edit The Verge 13 Jun 2016
Artificial intelligence tools like deep learning have come on in leaps and bounds in recent years, powered by two main resources. cheap processing power, delivered by the cloud; and stacks and stacks of user data ... How does it deliver deep learning smarts without constantly sending your data to the cloud? And how does it get that data in the first place? ... ....
2001: A Space Odyssey looks phenomenal filtered through a Picasso painting
Edit The Verge 13 Jun 2016
The proliferation of deep learning and neural networks has done wonders for the tech world, but it's also created a more enjoyable and less functional trend....
Apple opens up Siri, other systems to woo developers
Edit The Times of India 13 Jun 2016
San Francisco, June 13, 2016 (AFP) - ... - Apple's AI push - ... "In some ways, the star of the show wasn't a particular product but Apple's refutation of accusations that it can't compete with Google and Facebook in artificial intelligence and deep learning," said Jan Dawson of Jackdaw Research in a blog post ... Patrick Moorhead of Moor Insights & Strategy agreed that Apple appears to flexing its deep learning muscles ... rl/oh. APPLE INC ... RELATED....
Apple unveils iOS 10 with deeper 3D Touch integration, revamped Photos and Maps apps
Edit Venture Beat 13 Jun 2016
At its 2016 WWDC developer conference in San Francisco today, Apple unveiled the next version of iOS. The 3D Touch capability in newer iOS devices is becoming far more capable ... Notifications have been redesigned ... There’s face recognition, object recognition, and scene recognition is drawing on deep learning, an increasingly popular type of artificial intelligence ... The iOS keyboard is also drawing heavily on deep learning ... ....
Apple Announces iOS 10, watchOS 3, and new features for tvOS
Edit Slashdot 13 Jun 2016
Also at its annual developer conference, Apple announced major updates to its other platforms. Apple TV, iPhone and iPad, and Apple Watch ... There's a new TV Remote app for iPhone as well ... The Verge reports ... And yes, it's based on deep learning just like Google's rival system is.Apple Music has been redesigned from scratch, and Apple Maps and Messages are getting some nifty features, and they are also being opened to developers ... ....
Apple WWDC 2016: iOS 10, new features of Siri and more announced
Edit The Times of India 13 Jun 2016
Apple finally unleashed its software prowess upon the tech world by introducing a plethora of features across all four of its operating systems - iOS 10, macOS, tvOS and watchOS ... watchOS ... Apple iOS 10 ... tvOS ... The Quick type now comes with deep learning and intelligent suggestions ... Deep learning can now sort images based on facial recognition, objects and scenes ... Apple also announced Swift Playgrounds, a code learning free app for iPad....
Apple WWDC 2016: Apple releases iOS 10; ‘Sierra’ is new macOS version
Edit Yahoo Daily News 13 Jun 2016
12.16 am ... Deep Learning and intellgent suggestions ... New app called 'Breathe', guides you through relaxing deep breathing techniques ... 10 ... No wonder so many of them are here to learn about their future ... Learn about the future of iOS, OS X, watchOS, and tvOS, then honor the developers behind the year’s best apps ... Learn more about implementing new technologies with expert advice from Apple engineers in a collaborative group setting ... ....
iOS 10: 10 new features announced at WWDC 2016
Edit The Times of India 13 Jun 2016
At its twenty-seventh annual Worldwide Developers Conference, Apple has officially taken the wraps off iOS 10. The tenth version of iOS is, according to Apple, the biggest release of iOS ever ... 1 ... 2 ... 3 ... That's not it ... 4 ... It is now powered by advanced machine learning technology for enhanced facial recognition. And not just that, the deep learning technology can now be used to sense objects, both living and non-living (e.g ... 5 ... 6 ... 8 ... 9 ... 10 ... RELATED....
Apple iOS 10: 10 new features announced at WWDC 2016
Edit The Times of India 13 Jun 2016
At its twenty seventh annual Worldwide Developers Conference, Apple has officially taken the wraps off iOS 10. The tenth version of iOS is, according to Apple , the biggest release of iOS ever ... 1 ... 2 ... 3 ... That's not it ... 4 ... It is now powered by advanced machine learning technology for enhanced facial recognition. And not just that, the deep learning technology can now be used to sense objects, both living and non-living (e.g ... 5 ... 6 ... 7 ... 8 ... 9 ... 10....
10 iOS 10 features that will completely update your iPhone, from smarter Siri to a major Messages overhaul
Edit Digital Spy 13 Jun 2016
It's official, Apple can count, huzzah. iOS 10 has been unveiled at WWDC 2016 and it's on its way to replace the iOS 9 operating system currently powering your existing iPhone - yay ... 1 ... Highlighting just how big an update iOS 10 really is, you'll see changes right away ... 2 ... 3 ... 4 ... 5 ... Want to find photos you've taken of horses, you've got it, just type it in and Apple's deep learning will do the work ... 7 ... 8 ... 9 ... 10 ... ....
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