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Deep Learning Demystified
 


Date, time & venue

2020-11-23;18:30 -20:00;Webinar

{Thanks for the support, the enrollment has ended}


Introduction of the Webinar

Artificial Intelligence (AI) is solving problems that seemed well beyond our reach just a few years back. Using deep learning, the fastest growing segment of AI, computers are now able to learn and recognize patterns from data that were considered too complex for expert written software. Today, deep learning is transforming every industry, including automotive, healthcare, retail and financial services. This introduction to deep learning will explore key fundamentals and opportunities, as well as current challenges and how to address them. Highlights include:Demystifying Artificial Intelligence, Machine Learning and Deep LearningKey challenges organizations face in adopting this new approachHow GPU deep learning and software, along with training resources, can deliver breakthrough results.

 

Biography of Speaker :

Dr Charles CHEUNG is currently a Deep Learning Solution Architect and Data Scientist in NVIDIA AI Technology Center Hong Kong. Prior joining NVIDIA, he worked in Hong Kong Applied Science Technology and Research Institute for applied research. He leads the project team of machine vision group to develop deep learning solution for industrial defect inspection. The solution greatly helps the factory to increase the production stability and reduce the inspection time for quality control department.

Charles obtained the bachelor’s degree and PhD degree in applied and computational mathematics from Hong Kong Baptist University. His research focus on computational science, partial differential equations, computer vision and artificial intelligence.


Registration & Enquiries

This webinar is free of charge with maximum capacity of 350. Applications will be accepted on a first-come first-served basis. For registration, please complete the online registration by clicking the direct enrolment link  https://bit.ly/36jpdgV {Thanks for the support, the enrollment has ended}.  Electronic CPD certificate will be issued to those who attend the 23 Nov webinar and complete the event survey. The deadline for registration is by 17 Nov 2020.








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