NVIDIA Deep Learning Institute Fundamentals Workshop for Computer Vision | SGInnovate
October 17


Perl @ BASH, Level 3
79 Ayer Rajah Crescent
Singapore 139955

NVIDIA Deep Learning Institute Fundamentals Workshop for Computer Vision

Presented by SGInnovate, NVIDIA & NSCC

SGInnovate together with NVIDIA Deep Learning Institute (DLI), is offering 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 explores how convolutional and recurrent neural networks can be combined to generate effective descriptions of content within images and video clips.

Attendees MUST bring their own laptops

Workshop Overview:

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 learn to:

  • Understand the basics 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 capabilities.
  • 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.

Recommended Pre-requisites:

  • No background in deep learning is required for this training
  • Python understanding can be useful for some exercises
  • The mathematical and theoretical aspects of deep learning will NOT be covered by this training - and they're not a requirement to complete the labs, reading the Wikipedia page of Deep Learning would be a good start if you're interested.

08:45    Registration
09:00    Deep Learning Demystified (lecture)
10:00    Break
10:15    Image Classification with DIGITS (hands-on lab)
12:30    Lunch
13:30    Approaches to Object Detection with DIGITS (hands-on lab)
15:15    Tea Break
15:30    Neural Network Deployment with TensorRT (hands-on lab)
16:45    Closing Comments and Questions
17:00    End


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 into 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.

Instructors’ Biodata:
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 cybersecurity. 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 an 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.

For enquiries, please send an email to [email protected].

Topics: Artificial Intelligence / Deep Learning / Machine Learning / Robotics

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