GTC 2015 Keynotes

The Keynotes from the GPU Technology Conference 2015 are now online.

Opening Keynote – Jen-Hsun Huang

NVIDIA CEO and co-founder Jen-Hsun Huang opened the show with some product announcements and spoke to the theme of the show, Deep Learning.

The talk includes an overview of the Deep Learning process, and an interesting talk about training self driving cars. Plus, a question and answer session with Tesla’s Elon Musk.

A couple of fun reference points:
5:40 Titan X introduction
7:00 Epic – Titan X demo – WOWWIE!
38:48 Autonomous Vehicles
44:25 DAVE – DARPA Autonomous Vehicle
50:30 Elon Musk Interview

Here’s a link to the presentation notes.

Large-Scale Deep Learning For Building Intelligent Computer Systems – Jeff Dean – Google

Here’s blurb for the talk:
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.

Here’s a link to the video of the talk.

Here’s a link to the slides for the talk.

Certainly worth your time to listen to this talk.

Deep Learning: What’s Next – Andrew Ng – Baidu

Here’s the blurb for the talk:
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.

Here’s a link to the video of the talk.

Here’s slides for the talk.

Another hour well spent.

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