�ݺ�ߣshows by User: RussiaAI

�ݺ�ߣshows by User: RussiaAI / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: RussiaAI / Thu, 01 Dec 2016 17:01:51 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: RussiaAI Deep learning for audio-based music recommendation /slideshow/deep-learning-for-audiobased-music-recommendation/69731415 dlrsworkshop-161201170151
We are delighted to republish slides on Deep learning for audio-based music recommendation by Sander Dieleman. Sander is a Research Scientist at DeepMind, and was previously involved in scaling up content-based music recommendation at Spotify. Sander is a PhD student at Ghent University. The presentation covers deep content-based music recommendation approach that is an alternative solution to widely adopted collaborative filtering. Initially slides were presented at Workshop on Deep Learning for Recommender Systems in Bosoton in September 2016. ]]>
We are delighted to republish slides on Deep learning for audio-based music recommendation by Sander Dieleman. Sander is a Research Scientist at DeepMind, and was previously involved in scaling up content-based music recommendation at Spotify. Sander is a PhD student at Ghent University. The presentation covers deep content-based music recommendation approach that is an alternative solution to widely adopted collaborative filtering. Initially slides were presented at Workshop on Deep Learning for Recommender Systems in Bosoton in September 2016. ]]> Thu, 01 Dec 2016 17:01:51 GMT /slideshow/deep-learning-for-audiobased-music-recommendation/69731415 RussiaAI@slideshare.net(RussiaAI) Deep learning for audio-based music recommendation RussiaAI We are delighted to republish slides on Deep learning for audio-based music recommendation by Sander Dieleman. Sander is a Research Scientist at DeepMind, and was previously involved in scaling up content-based music recommendation at Spotify. Sander is a PhD student at Ghent University. The presentation covers deep content-based music recommendation approach that is an alternative solution to widely adopted collaborative filtering. Initially slides were presented at Workshop on Deep Learning for Recommender Systems in Bosoton in September 2016. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dlrsworkshop-161201170151-thumbnail.jpg?width=120&height=120&fit=bounds" /> We are delighted to republish slides on Deep learning for audio-based music recommendation by Sander Dieleman. Sander is a Research Scientist at DeepMind, and was previously involved in scaling up content-based music recommendation at Spotify. Sander is a PhD student at Ghent University. The presentation covers deep content-based music recommendation approach that is an alternative solution to widely adopted collaborative filtering. Initially slides were presented at Workshop on Deep Learning for Recommender Systems in Bosoton in September 2016.

Deep learning for audio-based music recommendation from Russia.AI

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0 Prisma and other stylization apps: explaining tech behind /slideshow/prisma-and-other-stylization-apps-explaining-tech-behind-67926565/67926565 bmmo-161031152908
A fantastic presentation explaining how texture synthesis, neural doodles, and image style transfer work. The presentation by Dmitry Ulyanov also covers issues of efficiency of algorithms. ]]>
A fantastic presentation explaining how texture synthesis, neural doodles, and image style transfer work. The presentation by Dmitry Ulyanov also covers issues of efficiency of algorithms. ]]> Mon, 31 Oct 2016 15:29:08 GMT /slideshow/prisma-and-other-stylization-apps-explaining-tech-behind-67926565/67926565 RussiaAI@slideshare.net(RussiaAI) Prisma and other stylization apps: explaining tech behind RussiaAI A fantastic presentation explaining how texture synthesis, neural doodles, and image style transfer work. The presentation by Dmitry Ulyanov also covers issues of efficiency of algorithms. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bmmo-161031152908-thumbnail.jpg?width=120&height=120&fit=bounds" /> A fantastic presentation explaining how texture synthesis, neural doodles, and image style transfer work. The presentation by Dmitry Ulyanov also covers issues of efficiency of algorithms.

Prisma and other stylization apps: explaining tech behind from Russia.AI

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0 True Artificial Intelligence Will Change Everything /slideshow/true-artificial-intelligence-will-change-everything/67309675 deepshort2016white-161017193824
We are delighted to republish slides presented by professor Jürgen Schmidhuber at GTC Conference in Amsterdam. The presentation covers evolution of deep learning since efforts of A. G. Ivakhnenko till the most recent achievement in curiosity-driven skills acquisition. �ݺ�ߣs contains a wealth of useful information including references and links. ]]>
We are delighted to republish slides presented by professor Jürgen Schmidhuber at GTC Conference in Amsterdam. The presentation covers evolution of deep learning since efforts of A. G. Ivakhnenko till the most recent achievement in curiosity-driven skills acquisition. �ݺ�ߣs contains a wealth of useful information including references and links. ]]> Mon, 17 Oct 2016 19:38:23 GMT /slideshow/true-artificial-intelligence-will-change-everything/67309675 RussiaAI@slideshare.net(RussiaAI) True Artificial Intelligence Will Change Everything RussiaAI We are delighted to republish slides presented by professor Jürgen Schmidhuber at GTC Conference in Amsterdam. The presentation covers evolution of deep learning since efforts of A. G. Ivakhnenko till the most recent achievement in curiosity-driven skills acquisition. �ݺ�ߣs contains a wealth of useful information including references and links. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/deepshort2016white-161017193824-thumbnail.jpg?width=120&height=120&fit=bounds" /> We are delighted to republish slides presented by professor Jürgen Schmidhuber at GTC Conference in Amsterdam. The presentation covers evolution of deep learning since efforts of A. G. Ivakhnenko till the most recent achievement in curiosity-driven skills acquisition. �ݺ�ߣs contains a wealth of useful information including references and links.

True Artificial Intelligence Will Change Everything from Russia.AI

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0 Using neural networks methods in reinforcement learning tasks /slideshow/using-neural-networks-methods-in-reinforcement-learning-tasks/66927156 rsd2016burtsev-161009201109
The presentation covers the core issues associated with reinforcement learning and explores architectures of deep neural networks used by Google DeepMind playing Atari games and Go. ]]>
The presentation covers the core issues associated with reinforcement learning and explores architectures of deep neural networks used by Google DeepMind playing Atari games and Go. ]]> Sun, 09 Oct 2016 20:11:09 GMT /slideshow/using-neural-networks-methods-in-reinforcement-learning-tasks/66927156 RussiaAI@slideshare.net(RussiaAI) Using neural networks methods in reinforcement learning tasks RussiaAI The presentation covers the core issues associated with reinforcement learning and explores architectures of deep neural networks used by Google DeepMind playing Atari games and Go. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rsd2016burtsev-161009201109-thumbnail.jpg?width=120&height=120&fit=bounds" /> The presentation covers the core issues associated with reinforcement learning and explores architectures of deep neural networks used by Google DeepMind playing Atari games and Go.

Using neural networks methods in reinforcement learning tasks from Russia.AI

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0 Deep learning: technology overview and trends /slideshow/deep-learning-technology-overview-and-trends/66927090 deeplearning-rsd-2016-09-26-161009200756
The presentation explains the core concepts behind deep learning as well as provides an overview of the main architectures of neural networks. A deeper view on employing neural networks for computer vision is provided. ]]>
The presentation explains the core concepts behind deep learning as well as provides an overview of the main architectures of neural networks. A deeper view on employing neural networks for computer vision is provided. ]]> Sun, 09 Oct 2016 20:07:56 GMT /slideshow/deep-learning-technology-overview-and-trends/66927090 RussiaAI@slideshare.net(RussiaAI) Deep learning: technology overview and trends RussiaAI The presentation explains the core concepts behind deep learning as well as provides an overview of the main architectures of neural networks. A deeper view on employing neural networks for computer vision is provided. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/deeplearning-rsd-2016-09-26-161009200756-thumbnail.jpg?width=120&height=120&fit=bounds" /> The presentation explains the core concepts behind deep learning as well as provides an overview of the main architectures of neural networks. A deeper view on employing neural networks for computer vision is provided.

Deep learning: technology overview and trends from Russia.AI

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0 Artificial Intelligence: investment trends and applications, H1 2016 /slideshow/artificial-intelligence-investment-trends-and-applications-h1-2016/66926303 20160924supercompconffin2-161009192706
The presentation explores the current state of investing in AI, including its industrial split, and provides a detailed outlook on AI applications in Healthcare, Transportation and Industrial sectors. ]]>
The presentation explores the current state of investing in AI, including its industrial split, and provides a detailed outlook on AI applications in Healthcare, Transportation and Industrial sectors. ]]> Sun, 09 Oct 2016 19:27:06 GMT /slideshow/artificial-intelligence-investment-trends-and-applications-h1-2016/66926303 RussiaAI@slideshare.net(RussiaAI) Artificial Intelligence: investment trends and applications, H1 2016 RussiaAI The presentation explores the current state of investing in AI, including its industrial split, and provides a detailed outlook on AI applications in Healthcare, Transportation and Industrial sectors. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20160924supercompconffin2-161009192706-thumbnail.jpg?width=120&height=120&fit=bounds" /> The presentation explores the current state of investing in AI, including its industrial split, and provides a detailed outlook on AI applications in Healthcare, Transportation and Industrial sectors.

Artificial Intelligence: investment trends and applications, H1 2016 from Russia.AI

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0 Developing Reading Machines /slideshow/developing-reading-machines/66642016 ai-meetup-161002130558
�ݺ�ߣs presented by Sebastian Riedel of UCL Machine Reading at an Iris. AI's meetup. �ݺ�ߣs cover the evolution of approaches to machine reading and describe a way to address the problem of working with very limited data. ]]>
�ݺ�ߣs presented by Sebastian Riedel of UCL Machine Reading at an Iris. AI's meetup. �ݺ�ߣs cover the evolution of approaches to machine reading and describe a way to address the problem of working with very limited data. ]]> Sun, 02 Oct 2016 13:05:58 GMT /slideshow/developing-reading-machines/66642016 RussiaAI@slideshare.net(RussiaAI) Developing Reading Machines RussiaAI �ݺ�ߣs presented by Sebastian Riedel of UCL Machine Reading at an Iris. AI's meetup. �ݺ�ߣs cover the evolution of approaches to machine reading and describe a way to address the problem of working with very limited data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ai-meetup-161002130558-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣs presented by Sebastian Riedel of UCL Machine Reading at an Iris. AI's meetup. �ݺ�ߣs cover the evolution of approaches to machine reading and describe a way to address the problem of working with very limited data.

Developing Reading Machines from Russia.AI

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0 https://public.slidesharecdn.com/v2/images/profile-picture.png Russia.AI is a private nonprofit initiative aiming to facilitate the dialog between Russian-speaking cognitive tech entrepreneurs and the global community. Russia.AI engages in research and sharing industry insights as well as in supporting collaboration between entrepreneurs, academics, investors and the wider community. www.russia.ai https://cdn.slidesharecdn.com/ss_thumbnails/dlrsworkshop-161201170151-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/deep-learning-for-audiobased-music-recommendation/69731415 Deep learning for audi... https://cdn.slidesharecdn.com/ss_thumbnails/bmmo-161031152908-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/prisma-and-other-stylization-apps-explaining-tech-behind-67926565/67926565 Prisma and other styli... https://cdn.slidesharecdn.com/ss_thumbnails/deepshort2016white-161017193824-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/true-artificial-intelligence-will-change-everything/67309675 True Artificial Intell...