SGInnovate 32 Carpenter Street, Singapore 059911
Deep Learning Institute Fundamentals Workshop with SGInnovate and NVIDIA
Organised by NVIDIA and SGInnovate
SGInnovate partners with NVIDIA Deep Learning Institute (DLI) to offer hands-on training to developers, data scientists, and researchers looking to solve real world problems with deep learning across diverse industries such as self-driving cars, healthcare, online services and robotics.
This full-day workshop covers the foundations of deep learning and offers hands-on training in Image Classification, Object Detection, and Neural Network Deployment using popular frameworks.
You will receive a Beginner Level certificate from Deep Learning Institute!
Attendees MUST bring their own laptops
You will learn to:
Understand basic of deep learning by training and deploying neural networks.
Implement common deep learning workflows, such as image classification and object detection.
Experiment with data, training parameters, network structure, and other strategies to increase performance and capability.
Deploy your neural networks to start solving real-world problems.
Upon completion, you’ll be able to start solving problems on your own with deep learning.
09:00 Deep Learning Demystified (lecture)
10:00 Image Classification with DIGITS (hands-on lab)
13:00 Approaches to Object Detection with DIGITS (hands-on lab)
15:00 Tea Break
15:15 Neural Network Deployment with TensorRT (hands-on lab)
17:15 Closing Comments and Questions
Lab #1: Image Classification with DIGITS
Deep learning enables entirely new solutions by replacing hand-coded instructions with models learned from examples. Train a deep neural network to recognize handwritten digits by:
• Loading image data to a training environment
• Choosing and training a network
• Testing with new data and iterating to improve performance
On completion of this Lab, you will be able to assess what data you should be training from.
Lab #2: Object Detection with DIGITS
Many problems have established deep learning solutions, but sometimes the problem that you want to solve does not. Learn to create custom solutions through the challenge of detecting whale faces from aerial images by:
• Combining traditional computer vision with deep learning
• Performing minor “brain surgery” on an existing neural network using the deep learning framework Caffe
• Harnessing the knowledge of the deep learning community by identifying and using a purpose-built network and end-to-end labeled data.
Upon completion of this lab, you will be able to solve custom problems with deep learning.
Lab #3: Neural Network Deployment with DIGITS and TensorRT
Deep learning allows us to map inputs to outputs that are extremely computationally intense. Learn to deploy deep learning to applications that recognize images and detect pedestrians in real time by:
• Accessing and understanding the files that make up a trained model
• Building from each function’s unique input and output
• Optimizing the most computationally intense parts of your application for different performance metrics like throughput and latency
Upon completion of this Lab, you will be able to implement deep learning to solve problems in the real world.
Dorien Herremans is an Assistant Professor at Singapore University of Technology and Design, and has a joint-appointment at the Insitute of High Performance Computing, A*STAR . Before that she was a Marie Sklodowska-Curie Postdoctoral Fellow at the Centre for Digital Music at Queen Mary University of London. She received her Ph.D. in Applied Economics at the University of Antwerp, where she also got an MSc in commercial engineering, management information systems. She worked as a Drupal consultant and was an IT lecturer at the Les Roches University in Bluche, Switzerland. Dr. Herremans' research interests include novel applications in the intersection of machine learning/optimization and music.
Oh Chin Lock:
An experienced educator, Chin Lock has been with Temasek Polytechnic for more than 10 years. He has played an instrumental role in launching courses in the areas of Business Analytics and Big Data Management, and played a key role in building industry collaboration and staff capability in other key areas such as machine learning, agile software development, IoT and cyber security. Prior to joining Temasek Polytechnic, Chin Lock was in industry designing and building software products for both large enterprises and an e-commerce start-up. He has a keen interest in innovation and technology. Chin Lock holds a MSc in IP Management and a BSc (Hons) in Computer & Information Sciences. He is a senior member of the Singapore Computer Society where he also serves as ICT career mentor.
IMPORTANT PLEASE TAKE NOTE:
DLI Attendees Pre-Workshop Instructions
1) You MUST bring your own laptop to this workshop.
2) Create an account by going to https://nvlabs.qwiklab.com/prior to getting to the workshop.
3) MAKE SURE your laptop is set up prior to the workshop by following these steps:
a) Ensure websockets runs smoothly on your laptop by going to http://websocketstest.com/
b) Make sure that WebSockets work for you by seeing under Environment, WebSockets is supported and Data Receive, Send and Echo Test all check Yes under WebSockets (Port 80).
c) If there are issues with WebSockets, try updating your browser or trying a different browser. The labs will not run without WebSockets support.
d) Best browsers for the labs are Chrome, FireFox and Safari. The labs will run in IE but it is not an optimal experience.
4) Please remember to sign in to https://nvlabs.qwiklab.com/using the same email address as for event registration, since class access is given based on the event registration list.
This workshop is brought to you by:
At this event, we host thought-leaders from the Singapore data community to discuss the possibilities of career paths in the Data Science world. They’ll cover how today’s wealth of data drives business and product decisions across industries ranging from journalism to programming, and share their visions for the future and how you can jump into this exciting area.
The blockchain revolution has made its way to the healthcare industry, and it’s only the beginning of what’s possible. Healthcare Rallies for Blockchain, a 2017 study from IBM, found that 16% of surveyed healthcare executives had solid plans to implement a commercial blockchain solution this year, while 56% expected to by 2020. Healthcare companies, tech innovators and the rest of the healthcare industry are grappling with what’s possible now and what blockchain could solve in the future.
Join SGInnovate and NVIDIA Chief Scientist, Bill Dally in an exclusive fireside chat on the power of Artificial Intelligence, as we discuss:
What is causing the current resurgence of AI: AI is nothing new, where algorithms used have been around since the 1980s.
Systems based on deep learning now exceed human capability in areas such as speech recognition and object classification. Is AI "taking over the world, with millions of jobs being lost to machines”?
We agree that AI has the capability to bring great impact to some of the world’s biggest challenges. But for AI to reach its full potential, it needs massive volume of data to learn and get better in the process. When people think about human-centric, date-driven technologies, many are worried about the issue of data privacy (in the healthcare sector, we could be talking about healthcare records and even biological data). Data and privacy – can there ever be a win-win?
Date: 31 January 2018
Venue: SGInnovate, 32 Carpenter Street, Singapore 059911
7:00pm: Fireside chat with Bill Dally, NVIDIA Chief Scientist
7:45pm: Q&A and Networking
Bill Dally, NVIDIA Chief Scientist
Bill Dally joined NVIDIA in January 2009 as chief scientist, after spending 12 years at Stanford University, where he was chairman of the computer science department. Dally and his Stanford team developed the system architecture, network architecture, signaling, routing and synchronization technology that is found in most large parallel computers today.
Dally was previously at the Massachusetts Institute of Technology from 1986 to 1997, where he and his team built the J-Machine and the M-Machine, experimental parallel computer systems that pioneered the separation of mechanism from programming models and demonstrated very low overhead synchronization and communication mechanisms. From 1983 to 1986, he was at California Institute of Technology (CalTech), where he designed the MOSSIM Simulation Engine and the Torus Routing chip, which pioneered “wormhole” routing and virtual-channel flow control. He is a member of the National Academy of Engineering, a Fellow of the American Academy of Arts & Sciences, a Fellow of the IEEE and the ACM, and has received the ACM Eckert-Mauchly Award, the IEEE Seymour Cray Award, and the ACM Maurice Wilkes award. He has published over 250 papers, holds over 120 issued patents, and is an author of four textbooks. Dally received a bachelor's degree in Electrical Engineering from Virginia Tech, a master’s in Electrical Engineering from Stanford University and a Ph.D. in Computer Science from CalTech. He was a cofounder of Velio Communications and Stream Processors.
This event is most suitable for professionals in Data Analytics or Data Science.
Please register your interest to attend the talks with us. In view of the technical nature of the event, we will then send you an email to confirm your attendance should the event suit your profile.
Date: 7 February 2018
Time: 6:30pm - 8:30pm
Venue: 32 Carpenter Street, Singapore 059911
6:30pm - 7:00pm: Registration
7:00pm - 7:45pm: Talk 1 - A Big Data Exploration with BigQuery and Github
7:45pm - 8:30pm: Talk 2 - Introduction to Serverless Big Data processing on GCP
Talk 1: A Big Data Exploration with BigQuery and Github
Speaker: Felipe Hoffa, Developer Advocate from Google
Synopsis: What can we learn from 1.1 billion GitHub events and 42 TB of code? Anyone can easily analyze the more than five years of GitHub metadata and 42+ terabytes of open source code. We’ll leverage this data to understand the community and code related to any language or project. Relevant for data analysts and data scientists.
Talk 2: Introduction to Serverless Big Data processing on GCP
Speaker: Allen Day, Developer Advocate from Google
Synopsis: In this presentation we’ll do a high-level review of some of the managed services available on Google Cloud Platform for deriving insights from petabyte-scale datasets. Who should attend: Data engineers, Data scientists, and Data analysts.
Space tech is not often talked about in Singapore, but it is a deep tech sector that holds tremendous potential globally. At this event, the aim is to inform and connect potential investors, startups and interested public (future employees & startups) about the commercial and investment opportunities in space here in Singapore.
6:30 – 7pm: Registration
7 – 7:45pm: Sharing by locally funded space startups:
- Gilmour Space Tech (Adam Gilmour, CEO & Founder)
- Transcelestial Technologies (Rohit Jha, CEO & Co-Founder)
- Spire (Mark Dembitz, Head of APAC Sales & Business Development)
7:45 – 8:30pm: Panel Discussion with:
- Atsushi Taira, Chief Growth Officer, Mistletoe Inc
- Vishal Harnal, General Partner, 500 Startups
- Jonathan Schiff, Managing Director, Schiff Family Office
- Moderated by Steve Leonard, Founding CEO, SGInnovate
8:30 – 8:45pm: Q&A
8:45 – 9pm: Networking & End
Adam Gilmour, CEO & Founder, Gilmour Space Technologies
Adam Gilmour is the CEO & Founder of Gilmour Space Technologies, a new rocket company that’s pioneering low-cost rocket development and launch in Australia and Singapore.
In just 3 years, Gilmour Space has developed a proprietary 3D printed fuel, which it successfully test launched in June 2016; raised US$3.8 million in Series A funding from Blackbird Ventures and 500 Startups, among others; completed and passed its full-scale orbital engine tests; and is now scaling to launch its first commercial suborbital rocket by 2019, and LEO launch vehicle in 2020. Payload capability: 380 kg small satellites to Low Earth Orbit.
Rohit Jha, CEO & Co-Founder, Transcelestial Technologies
Rohit is the CEO & Co-Founder of Transcelestial Technologies, which is developing a laser communication solution to replace existing wireless communication technology.
Mark Dembitz, Head of APAC Sales & Business Development
A creative and analytical self-starter, Mark has 12 years of international experience in strategic business development, consultative sales and account/stakeholder management. He builds strong interpersonal and corporate relationships, and leverage those to create value for customers, partners and shareholders.
Spire Global, Inc. is an American private company specializing in data gathered from a network of small satellites. It has successfully deployed twelve Earth observation CubeSats into Low Earth orbit. The company has offices in San Francisco, Glasgow, Singapore, and Boulder.
Atsushi Taira, Chief Growth Officer, Mistletoe Inc
Atsushi is the representative director and Chief Growth Officer at Mistletoe Inc.. Mistletoe Inc is one of the investors of Astroscale, a Singapore-based satellite services company formed in 2013.
Mistletoe Inc. also invests, incubates and grows startups and venture companies in US, Japan and Asia.
Atsushi’s previous key roles includes SVP, Global Business Strategy, SoftBank Corp. and Softbank Mobile, and the Chief Marketing Officer of Yahoo! Japan.
Vishal Harnal, General Partner, 500 Startups
Vishal is a General Partner at 500 Startups, and is responsible for leading and scaling 500’s investments and operations across South-East Asia. He’s an investor of Gilmour Space Technologies, an Australia and Singapore-based small satellite launch company.
Prior to 500, Vishal was a Senior Associate at law firm Drew and Napier.
Jonathan Schiff, Managing Director, Schiff Family Office
Jonathan Schiff is a Singapore based serial entrepreneur and early stage investor whose business interests have included TMT, healthcare, real-estate, hospitality, mining, and banking. His life focus is empowering the advancement of technologies which further an evolution in human enlightenment and empathy.
Moderator: Steve Leonard, Founding CEO, SGInnovate
Mr Steve Leonard is a technology-industry leader with a wide range of experience, having played key roles in building several global companies in areas such as Software, Hardware and Services. Although born in the US, Mr Leonard considers himself a member of the larger global community, having lived and worked outside the US for more than 25 years.
In his current role as the Founding Chief Executive Officer of SGInnovate – a private limited company wholly owned by the Singapore Government – Mr Leonard has been chartered to lead an organisation that builds ‘deep-tech’ companies. Capitalising on the science and technology research for which Singapore has gained a global reputation, Mr Leonard’s team works with local and international partners, including universities, venture capitalists, and major corporations to help technical founders imagine, start and scale globally-relevant early-stage technology companies from Singapore.
Note: Refreshments are not provided. You are advised to have dinner before attending the event.
This seminar is intended for SMEs and entrepreneurs who are looking to use technology to enable the elderly who choose to "age in place" safely and comfortably. We believe that this will be through identifying Solutions and Models through the use of Artificial intelligence, Robotics and other Technologies which are quickly coming on stream.