Recurrent Neural Hacks!

XIX.ai and NVIDIA Deep Learning Institute  (DLI) Presents: [Hackathon] Recurrent Neural Hacks! This idea has been percolating for quite a while in our minds, and it's finally live! We are hosting our first ML hackathon "Recurrent Neural Hacks" As you all know, we've been doing (and will continue to do) AI Meetup Series where we bring together the industry leaders and technologists, and now we think we are ready to move forward and build things with the community. Schedule Day 1 8:30    - Open Doors 9:50    - Opening Talk and Welcome Note 10:00  - Coding Starts!10:00  - DIGITS demo, by NVIDIA 10:30  - RNN Hands on lab with Torch by NVIDIA12:00*- Lunch13:00  - Tensor Flow Workshop13:00*- Snacks14:00  - neon Workshop by Nervana15:00  - Pandas Data Exploration Workshop16:00  - Scikit-learn Workshop17:00* - Snacks 19:00* - Dinner Day 2 3:00am* - Snacks 8:00am* - Breakfast10:00 - Coding Stops! Submissions due 10:10 - Pitch session starts12:20 - Third and second place announcement 12:30 - New GTX card announcement, the winner of the hackathon announcement 13:00 - Networking Prizes We are excited to announce prizes provided by NVIDIA

1st Prize  The Mystery Jen-Hsun GTX!

2nd Prize NVIDIA Shield Android TV

3rd Prize  NVIDIA Shield Tablet
Partner Workshops  Nervana Systems brings us the workshop on their framework neon, presented by Anil Thomas. Anil Thomas is a Kaggle champion (top rank #2) where he has applied his machine learning expertise to enterprise datasets, achieving near human-level performance in some cases. He brings with him two decades of experience in the software industry. As a hands-on data scientist, he has experience building predictive models for business applications such as customer retention and demand forecasting. He is passionate about working with data, sourced from disparate domains  NVIDIA brings us 2 workshops: demo of DIGITS (15 min) and RNN Hands on lab (90min) - built in python, pulls cloud instanceChainer, Torch, brought by Leo Tam. Leo Tam serves as the Deep Learning (DL) Solution Architect and Community Manager within the NVIDIA World Wide Solution Architecture Organization. Leo engages with DL developers, researchers, and startups as the content curator of the Deep Learning Institute. The DLI team works closely with NVIDIA Corporate Marketing, including social media marketing, industry business development teams, and NVIDIA engineering teams to create and deploy messaging, assets, tools, and experiences,for DL Developers in various communities. They are the voice of Deep Learning Developers within NVIDIA providing detailed community feedback and research.

July 17, 2016

404 Bryant St, San Francisco, CA 94107, USA

$1,900