Fundamentals of Deep Learning for Computer Vision | SGInnovate


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


Early Bird [until 31 Jan 19] (Ticket Inclusive of G.S.T) - $457.43
Normal Ticket (Ticket Inclusive of G.S.T) - $481.50

Fundamentals of Deep Learning for Computer Vision

Presented by SGInnovate, NVIDIA & NSCC

SGInnovate, together with the NVIDIA Deep Learning Institute (DLI) is proud to bring to you Fundamentals of Deep Learning for Computer Vision.

Led by experienced instructors, you can expect to learn the latest deep learning techniques for designing and deploying neural network-powered machine learning across a variety of application domains.

In the course, participants will learn to:

  • 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 of neural networks
  • Integrate and deploy neural networks in your own applications to start solving sophisticated real-world problems

You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU accelerated workstation in the cloud. After a quick introduction to deep learning, you will advance to building and deploying deep learning applications for image classification and object detection, followed by modifying your neural networks to improve their accuracy and performance, and finish by implementing the workflow that you have learned on a final project. 

At the end of the workshop, you will have access to additional resources to create new deep learning applications on your own.

08:45am – 09:00am: Registration
09:00am – 09:45am: Introduction
Introduction to deep learning, situations in which it is useful, key terminology, industry trends and challenges

  • Course Overview
  • Getting Started with Deep Learning 

09:45am – 10:00am: Tea Break
10:00am – 12:00pm: Unlocking New Capabilities
Hands-on exercise: Training neural networks to perform image classification by harnessing the three main ingredients of Deep Learning: Deep Neural Networks, Big Data and the GPU

  • Biological inspiration for Deep Neural Networks (DNNs)
  • Training DNNs with Big Data

12:00pm – 12:45pm: Lunch
12:45pm – 1:25pm: Unlocking New Capabilities
Hands-on exercise: Deployment of trained neural networks from their training environment into real-life applications

  • Deploying DNN Models

1:25pm – 3:05pm: Measuring and Improving Performance
Hands-on exercise: neural network performance optimisation and applying DNNs to object detection

  • Optimising DNN Performance
  • Incorporating Object Detection

3:05pm – 3:25pm: Summary
Review of concepts and practical takeaways

  • Summary of Key Learnings

3:25pm – 3:40pm: Tea Break
3:40pm – 4:40pm: Assessment
Validate your learning by applying the deep learning application development workflow (load dataset, train and deploy model) to a new problem

  • Assessment Project: Train and Deploy a Deep Neural Network

4:40pm – 5:00pm: Next Steps
Learn how to set up your GPU-enabled environment to begin work on your own projects. Get additional project ideas along with resources to get started with NVIDIA AMI on the cloud, NVIDIA-docker, and the NVIDIA DIGITS container

  • Workshop survey
  • Setting up your own GPU enabled environment
  • Additional project basis
  • Early Bird (until 31 Jan 19) - SGD$457.43
  • Regular Ticket - SGD$481.50
  • Package Deal (CV + MDT) – SGD$914.85

For group discounts or enquiries, please contact [email protected].

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

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