Introduction to pytorch

Europe/Berlin
Description

This free-of-charge course will go through a step-by-step introduction to the use of pytorch for machine learning. Specifically, we will discuss the use of the pytorch library for the training of a image classification task. We hope that this way, learners can apprehend pytorch and extrapolate to other use cases.

Prerequisites

The course itself is planned in a code-along style and fully virtual. Please prepare to have:

  • a screen to see what the trainer types
  • a second screen to type along
  • a working microphone
  • a working speaker or headphone
  • a working python environment running pytorch 1.8 or later

Moreover, we expect that participants have experience running machine learning training on a provided dataset e.g. for using a multi-layer perceptron or a convolutional neural network. This is not an introductory course to machine learning. We will focus mostly on the use of the pytorch library.

    • 09:00 09:10
      Welcome 10m
      Speaker: Peter Steinbach (HZDR)
    • 09:10 12:00
      Introduction to pytorch 2h 50m
      Speaker: Peter Steinbach (HZDR)
    • 12:00 13:00
      Lunch 1h
    • 13:00 15:00
      Pytorch introduction continued 2h
      Speaker: Peter Steinbach (HZDR)
    • 15:00 15:30
      Break 30m
    • 15:30 16:00
      (TBC) Introduction to pytorch-lightning 30m