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Deep learning is a promising approach for extracting accurate information from raw sensor data from IoT devices deployed in complex environments. Because of its multilayer structure, deep learning is also appropriate for the edge computing environment.
Sandeep will provide an introduction to Deep Learning, core technologies, methodologies and approach on how Deep Learning can enable IoT applications.
A three hours workshop on Deep Learning for IoT with Edge Computing - Voice Recognition and Autonomous Vehicles
Location- NUS Enterprise, #02-01, 71 Ayer Rajah Crescent, Singapore
Preparation- Participants are requested to bring their own laptops.
Schedule: 6.00 pm – 9:00 pm (Singapore Time)
Registration & Networking
Introduction to Basic Terms and how they fit together:
2.1. AI, Big Data, Machine Learning, Deep Learning,
2.2. IOT, Neural Networks
Brief overview of use case of Deep Learning
How to Approach a Deep Learning Problem:
4.1. How to approach?
4.2. Which Tools?
4.3. Which Algorithms?
Questions & Answers
Past- Amazon, InMobi, D.E.Shaw, tBits Global
For last 15+ years, Sandeep Giri (https://www.linkedin.com/in/girisandeep/) has been building products and churning large amounts of data for various product firms. He has an all-around experience of software development and machine learning.
Apart from digging data and technologies, Sandeep enjoys conducting workshops, answering questions and explaining difficult concepts in simple ways. Prior to founding CloudxLab, he worked at Amazon.com, InMobi.com, and D.E.Shaw. He graduated from Indian Institute of Technology, Roorkee.
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