Intel® AI Analytics Tools Practice and Performance Check Practice
This workshop session intends to help you understand Intel® AI Analytics Toolkit (Intel® AI Kit) for giving data scientists, AI developers, and researchers familiar Python* tools and frameworks to accelerate end-to-end data science and analytics pipelines on Intel® architecture. The contents of this presentation will show components built on oneAPI libraries for low-level compute optimizations. Moreover, by deep diving into optimization techniques that are applied on Intel® Extension for PyTorch, the session will show how this toolkit maximizes performance from preprocessing through machine learning/deep learning and provides interoperability for efficient model development.
In the hands-on lab, we will guide you step-by-step to experience performance benefits with Intel optimizations on Intel® architecture via Intel® Developer Cloud.
Speaker(s)
Ms. Zhaoqiong Zheng - AI software solution engineer, Intel® China
Zhaoqiong Zheng is a software technology consultant at Intel China. She provides technical support to individual developers and enterprise customers at Intel. She specializes in deep learning frameworks on Intel architecture.
