[53a] Intro to PyTorch Tutorial (Sebastian Raschka)

## Upcoming Events

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[53a] Sebastian Raschka: Introduction to PyTorch

[53b] Adrian Wälchli: Scaling Up with LightningLite

[53c] Q&A: Sebastian Raschka & Adrian Wälchli (PyTorch, LightningLite)

## Key Links

Meetup Event

## Resources

DevCon 2022

Sebastian's slides

Adrian's slides

30% book discount

Suggested resource

Sebastian's book

model inspection

Link to code examples

## Community Announcements

Adding timestamps

[53a] Video 1: Intro to PyTorch

## Agenda

optimizer.zero_grad() (remember to reset the gradients for each iteration)

[53b] Video 2: Scaling Up with LightningLite

[53c] Video 3: Q&A with Sebastian and Adrian

## Event

This talk will introduce attendees to using PyTorch for deep learning. We will start by covering PyTorch from the ground up and learn how it can be both powerful and convenient. At times, Machine learning models can become so large that they can't be trained on a notebook anymore. Being able to take advantage AI-optimized accelerators such as GPU or TPU and scaling the training of models to hundreds of these devices is essential to the researcher and data scientist.

However, adding support for one or several of these in the source code can be complex, time consuming and error-prone. What starts as a fun research project ends up being an engineering problem with hard to debug code. This talk will introduce LightningLite, an open source library that removes this burden completely. You will learn how you can accelerate your PyTorch training script in just under ten lines of code to take advantage of multi-GPU, TPU, multi-node, mixed-precision training and more.

## About the Speaker: Sebastian Raschka

Sebastian is a machine learning and AI researcher with a strong passion for education. As Lead AI Educator at Grid.ai, he is excited about making AI & deep learning more accessible and teaching people how to utilize AI & deep learning at scale. Sebastian is also an Assistant Professor of Statistics at the University of Wisconsin-Madison and the author of the Machine Learning with PyTorch and Scikit-Learn book.