Fundamentals of Deep Learning for Computer Vision
21 Mar 2019



21 - 22 Mar 2019 | This NVIDIA Deep Learning Institute (DLI) hands-on course will help researchers and developers to solve challenging problems with deep learning using image classification, object detection and neural networks.




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When: 13:30 Thursday 21 March 2019 - 13.30 Friday 22 March 2019

Price: Free

Best for: Exclusively for verifiable researchers from academic and government institutions, academic staff, and students. Please register with your academic email address: 

About This Workshop:
This workshop teaches you to apply deep learning techniques to a range of computer vision tasks through a series of hands-on exercises. 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.

Learning Objectives:
At the conclusion of the workshop, you will have an understanding of the fundamentals of deep learning and be able 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 the performance and capability of neural networks

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

Familiarity with basic programming fundamentals such as functions and variables

Workshop Setup Instructions:

  1. Bring your laptop!
  2. Before coming to the course:

  • Create an NVIDIA Developer account at

  • Make sure that WebSockets works for you:

    • Test your laptop at

    • Under ENVIRONMENT, confirm that “WebSockets” is checked yes.

    • Under WEBSOCKETS (PORT 80), confirm that “Data Receive,” “Send,” and “Echo Test” are checked yes

  • If there are issues with WebSockets, try updating your browser. We recommend Chrome, Firefox, or Safari for optimal performance.

3.        Once onsite, visit and enter the event code provided by the instructor. 

View the agenda and register