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GTC On-Demand

Get insight into how GPU computing is transforming how developers, engineers, programmers, researchers, and academics accelerate research and mission-critical applications. Explore this library of recordings and presentations from NVIDIA and its partners.

Machine Learning & Deep Learning
Presentation
Media
Opening Keynote
Jen-Hsun Huang (NVIDIA)
Don't miss GTC's opening keynote address from NVIDIA CEO and co-founder Jen-Hsun Huang. He'll discuss the latest breakthroughs in visual computing, including how NVIDIA is fueling the revolution in deep learning. ...Read More
Don't miss GTC's opening keynote address from NVIDIA CEO and co-founder Jen-Hsun Huang. He'll discuss the latest breakthroughs in visual computing, including how NVIDIA is fueling the revolution in deep learning.  Back
 
Keywords:
Machine Learning & Deep Learning, GTC 2015 - ID S2000
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Large-Scale Deep Learning For Building Intelligent Computer Systems
Jeff Dean (Google)
Over the past few years, we have built large-scale computer systems for training neural networks, and then applied these systems to a wide variety of problems that have traditionally been very difficult for computers. We have made significant im ...Read More

Over the past few years, we have built large-scale computer systems for training neural networks, and then applied these systems to a wide variety of problems that have traditionally been very difficult for computers. We have made significant improvements in the state-of-the-art in many of these areas, and our software systems and algorithms have been used by dozens of different groups at Google to train state-of-the-art models for speech recognition, image recognition, various visual detection tasks, language modeling, language translation, and many other tasks. In this talk, I''ll highlight some of the distributed systems and algorithms that we use in order to train large models quickly. I''ll then discuss ways in which we have applied this work to a variety of problems in Google''s products, usually in close collaboration with other teams. This talk describes joint work with many people at Google.

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Keywords:
Machine Learning & Deep Learning, GTC 2015 - ID S5817
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Deep Learning: What's Next
Andrew Ng (Baidu)
Deep Learning has transformed many important tasks, including speech and image recognition. Deep Learning systems scale well by absorbing huge amounts of data to create accurate models. The computational resources afforded by GPUs have been instrumen ...Read More
Deep Learning has transformed many important tasks, including speech and image recognition. Deep Learning systems scale well by absorbing huge amounts of data to create accurate models. The computational resources afforded by GPUs have been instrumental to this scaling. However, as Deep Learning has become more mainstream, it has generated some hype, and has been linked to everything from world peace to evil killer robots. In this talk, Dr. Ng will help separate hype from reality, and discuss potential ways that Deep Learning technologies can benefit society in the short and long term.  Back
 
Keywords:
Machine Learning & Deep Learning, Computer Vision & Machine Vision, GTC 2015 - ID S5818
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