Design, train, and accelerate your neural network-powered artificial intelligence projects.
HKUST, 27 July 2017
Register NowNVIDIA Deep Learning Institute in partnership with HKUST Big Data Institute are excited to announce this 1-day practical deep learning workshop on 27 July, 2017.
Deep learning is a hot topic in both academia and industry since it has recently dramatically improved the state-of-the-art in areas such as speech recognition, computer vision, predicting the activity of drug molecules, and many other machine learning tasks. The basic idea in deep learning is to automatically learn to represent data in multiple layers of increasing abstraction, thus helping to discover intricate structure in large datasets.
The 1-day workshop will provide excellent opportunity to learn fundamentals of deep learning, starting from basic workflows in deep learning, using TensorFlow for building intelligent applications, as well as practical acceleration solutions for large-scale TensorFlow deployments.
TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization. The system is designed to facilitate research in machine learning, and to make it quick and easy to transition from research prototype to production system.
TensorFlow's flexible architecture allows you to deploy computation on everything from multiple CPUs or GPUs to a mobile device with a single API’. Scalability and flexibility of TensorFlow is one of the main advantages it holds over competing frameworks.
Participant of both workshop labs will be awarded certificate of completion. Enroll now to learn everything you need to design, train, and integrate neural network-powered artificial intelligence into your applications using TensorFlow.
Please register and follow the payment procedure here. All participants need to have a confirmed ticket in order to attend the afternoon lab session. The first 20 registered HKUST student will be each given a free ticket to the afternoon lab session.
Time | Event | Location |
---|---|---|
9:30-10:00 | Check-in | LTF |
10:00-10:20 | Opening | LTF |
10:20-11:00 | Deep Learning, AI Revolution - The Next Computing Paradigm | LTF |
11:00-11:40 | Deep Learning Research In HKUST BDI | LTF |
11:40-13:00 | Lunch break | |
13:00-13:30 | NVIDIA Deep Learning Overview | Rm1505 |
13:30-15:00 | Deep Learning Workflows with TensorFlow, MXNet and NVIDIA-Docker | Rm1505 |
15:00-15:20 | Break | |
15:20-17:00 | Image Segmentation with TensorFlow | Rm1505 |
17:00-17:30 | Q & A Session | Rm1505 |
Morning Session: Leung Yat Sing Lecture Theater (LTF, Lift 25/26), Academic Building, HKUST
Afternoon Session: Room 1505 (Lift 25/26), Academic Building, HKUST
All participants need to have a confirmed ticket in order to attend the afternoon lab session. To obtain a confirmed ticket before the evnet, payment should be made via bank transfer, and transfer details are listed below. The first 20 registered HKUST student will be each given a free ticket to the afternoon lab session.
Walk-ins are welcomed for the afternoon session if there's available seats. Payment for walk-in are collected at the entrance of lab session venue (Rm 1505).
Bank Name | HSBC |
Account No | 541-165577-001 |
Account Name | Image Media Services Company |
Fee (per seat) | HKD 800 |
Payment Deadline | July 21, 2017 Friday |
After payment transfer, please email on or before July 21 the copy of your bank transfer receipt, your full name and mobile phone number to the below email for confirmation and to obtain the entrance ticket.
E-Mail: sharone@imagemediatw.com