XENON Systems partners with NVIDIA Deep Learning Institute (DLI) to offer hands-on training for developers, data scientists and researchers looking to solve real-world problems with Deep Learning.

Deep Learning is used in the research community and in the industry to help solve big data problems such as computer vision, speech recognition and natural language processing. Practical examples include:


Why Deep Learning is so popular and in demand

Deep Learning is popular right now because it is easy and it works.

Traditional machine learning uses handwritten feature extraction and modality-specific machine learning algorithms to label images or recognise voices. That is a lot of work, and you need to be a machine learning expert!!!

Today’s advanced deep neural networks use algorithms, big data and the computational power of the GPU to change this dynamic. You do not need to be an expert to get started with Deep Learning. All you need is data.

Why you should attend NVIDIA DLI’s courses

Through instructor-led courses, the Deep Learning Institute teaches the latest techniques for designing, architecting and deploying neural network-powered machine learning across a variety of application domains.

After completing the course, you will receive a certificate from NVIDIA DLI.

If you are an absolute beginner you will not only learn what Deep Learning is; you will also get hands-on experience to solve real problems like recognising handwritten letters and detecting right whales in aerial photos. You will also learn how to deploy your neural networks to use them in real-world applications.

Are you already experienced with Deep Learning, and would you rather be focusing on designing and training networks than programming and debugging? You will learn how to use NVIDIA DIGITS; a completely interactive tool for simplifying common Deep Learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real time with advanced visualisations and selecting the best performing model from the results browser for deployment.

The courses

XENON Systems and NVIDIA DLI offers the following instructor-led courses and training in Melbourne, Australia:

Fundamentals of Deep Learning for Computer Vision Fundamentals of Deep Learning for Multiple Data Types
Here you will learn how 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
  • Deploy your neural networks to start solving real-world problems
Here you will learn how to train a network to generate captions from images and video by:

  • Implementing Deep Learning workflows like image segmentation and text generation
  • Comparing and contrasting data types, workflows and frameworks
  • Combining computer vision and natural language processing



Schedule a private course


XENON Systems is pleased to host Deep Learning Fundamentals on-site at events or even privately to your organisation, at your own location or externally.

Deep Learning Fundamentals is a full-day course covering the foundations of deep learning and offers hands-on training in Image Classification, Object Detection and Neural Network Deployment using popular frameworks.

These self-paced online labs are available globally and many are available without any cost. Examples of courses include:

  • Applications of Deep Learning with Caffe, Theano and Torch
  • Image Classification with NVIDIA DIGITS
  • Signal Processing Using NVIDIA DIGITS

Find out more »

Find out more »