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NVIDIA DLI Fundamentals of Deep Learning

7th Sep 2022
09:00 AM - 05:00 PM
I Block, University of Waikato (I.1.09), University of Waikato Hamilton New Zealand 3240

Details of the workshop

This is a hybrid event, in person at the University of Waikato and online via Zoom - in person is highly recommended. You will be sent the Zoom link upon registration and details of how to get to I Block. You will need to bring your own laptop. Catering will be provided. Registrations close Friday 2nd September

About the workshop

In this workshop, you’ll learn how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.

Learning Objectives

By participating in this workshop, you’ll:

  • Learn the fundamental techniques and tools required to train a deep learning model
  • Gain experience with common deep learning data types and model architectures
  • Enhance datasets through data augmentation to improve model accuracy
  • Leverage transfer learning between models to achieve efficient results with less data and computation
  • Build confidence to take on your own project with a modern deep learning framework

Certificate

Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

 

Registration

Other

  • Full registration - Academic

    Note: This course will be free for academics upon successful completion of the course, if not successfully completed a $500 fee will be applied.

    Allocation Exhausted
  • Full registration - Industry & Government

    $500.00

Map

Venue

I Block, University of Waikato (I.1.09)
University of Waikato
Hamilton
New Zealand 3240


Event Organiser

Renae Dixon
07 8379199


Email Organiser