Sebastian Raschka
Sebastian Raschka is a machine learning and AI researcher with a strong passion for education. As Lead AI Educator at Lightning AI, he is excited about making AI and deep learning more accessible and teaching people how to utilize these technologies at scale.
Sebastian was previously an Assistant Professor of Statistics at the University of Wisconsin-Madison. However, in 2023, he resigned from his position to devote himself fully to the Lightning AI startup company, which he had joined in 2022. While working at UW-Madison, Sebastian focused on researching deep learning and machine learning. To learn more about his research, you can visit his website at https://sebastianraschka.com/publications.
Moreover, Sebastian loves open-source software and has been a passionate contributor for over a decade. Next to coding, he also loves writing and authored the bestselling Python Machine Learning book and Machine Learning with PyTorch and Scikit-learn.
If you like to find out more about Sebastian and what he is currently up to, please visit his personal website at https://sebastianraschka.com. You can also find Sebastian on Twitter (@rasbt), Mastodon (@mastodon.social@SebRaschka), and LinkedIn (https://www.linkedin.com/in/sebastianraschka/)
Sessions
We will kick off this tutorial with an introduction to deep learning and highlight its primary strengths and use cases compared to traditional machine learning. In recent years, PyTorch has emerged as the most widely used deep learning library for research. However, a lot has changed regarding how we train neural networks these days. After getting a firm grasp of the PyTorch API, you will learn how to train deep neural networks using various multi-GPU training paradigms. We will also fine-tune large language models (transformers) and deploy them to the cloud.