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AI with Deep Learning

This content assumes:

The course is split into two workshops, which are ideally placed on a Friday and a Monday. Students are assigned some homework to complete between the two workshops.

Files:

Part 1

  • A powerpoint recapping deep learning principles
  • A folder of PyTorch exercises for the students to complete in breakout rooms

Homework

  • A powerpoint detailing what Temerature Scaling is and the structure of the homework
  • A folder containing the homework exercises
  • A folder with the completed homework exercises (to be covered at the beginning of the second workshop)
  • Note that students will need a working python environment to complete the homework

Part 2

  • A folder containing markdown slides covering Deep Learning with HPC
  • A folder of examples to be covered alongide the slides
  • Students will need HPC accounts to be able to complete these exercises

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