Practical Deep Learning Training Seminar Series - Fall 2024

Topic outline

• General

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  The NCSA Center for Artificial Intelligence Innovation provided a practical ML training seminar series in Fall 2024. The instructor was Priyam Mazumdar, a PhD student in Electrical and Computer Engineering at UIUC and a researcher at the National Center for Supercomputing Applications Center for AI Innovation. He is also a Research & Development Intern at Sandia National Labs in Deep Learning for Neuromorphic Computing.

  This seminar series was presented on:

  Dates:  Thursdays from 3 to 5 pm from 9/19/24 to 11/21/24
  Location:  The Grainger College of Engineering –
  Electrical & Computer Engineering building
  Address:  306 N. Wright St., Urbana, IL
  Room:  ECEB – 1013

  The archive of these sessions can be accessed in the section below.

• Seminar Sessions
  • 

    Introduction: What is Machine and Deep Learning – 09/19/24 URL
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    Intro to PyTorch – 09/26/24 URL
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    Datasets and Dataloaders (for Images and Text) – 10/3/24 URL
  • 

    Convolutional Neural Networks – 10/10/24 URL

    You will be able to build AlexNet by the end of the session.

  • 

    LSTM for Classification – 10/17/24 URL
  • 

    Distributed Training with Accelerate – 10/24/24 URL

    You will be able to reproduce Resnet50 and learn basic SLURM by the end of the session.
    

  • 

    What is Attention? – 10/31/24 URL
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    Reproduce Vision Transformers – 11/7/24 URL
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    Reproduce RoBERTa + Extractive QA on SQUAD (Part 1) – 11/14/24 URL
  • 

    Reproduce RoBERTa + Extractive QA on SQUAD (Part 2) – 11/21/24 URL