Machine Learning 102: Now Accepting Applications

In November 2023, NeSI will be offering a virtual Machine Learning 102 workshop and you are invited to fill out an expression of interest to signal your interest in attending. Date for the workshop will be announced in early November.

Selected candidates will receive an email confirming their attendance along with other details for the workshop.

Please submit your interest by EOD Friday, 3 November 2023.

About this event

This hands-on workshop will acquaint learners across Aotearoa New Zealand with Image Analysis on NeSI using Machine Learning (ML). The NeSI training team will introduce you to the basics of convolutional neural networks (CNNs) for image processing, using the Tensorflow Python package. The team will work through building a simple neural network to classify images and reuse larger, pre-trained models to tackle more challenging tasks. Finally, you will convert your code into a non-interactive SLURM job to leverage GPU resources and get results faster and more efficiently.

The workshop will address the following topics:

  • Convolutional Neural Networks (CNNs)
  • Tensorflow Image Analysis Classification
  • Transfer Learning
  • SLURM
  • Other necessary details required to work on NeSI

Who is this event for?

To attend this workshop, you will need to be familiar with the Python language or be competent in another analytical language (C, Matlab, Julia, R) and know how to enter commands in a terminal to navigate between folders and run programs. You should be familiar with concepts of predictive models as well. If you want to brush up on your Python skills beforehand please consider reviewing this programming with python material. We welcome applications from NZ based researchers.

NeSI is keen for this workshop to be taken up by other trainers in the community and encourages interested candidates to apply.

If you have any questions or concerns about your eligibility, reach out to us at training@nesi.org.nz

CLICK HERE TO REGISTER YOUR INTEREST

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