Accelerating Machine Learning on NXP i.MX 8 Microprocessors and Crossover MCUs Using Open-Source Frameworks

About This Training

TensorFlow^® Lite, ArmNN and GLOW are popular open-source machine learning inference frameworks for mobile and IoT devices. In this session, you’ll learn how to use TensorFlow Lite, and ArmNN on NXP i.MX 8 MPU-class devices in Linux and how to take advantage of not only Arm^® Cortex^®-A CPU cores, but also dedicated on-chip GPU and NPU accelerators.

For NXP i.MX RT MCU-class devices we will introduce two approaches:

• TensorFlow Lite for microcontrollers with CMSIS-NN kernel implementation optimized for Cortex-M cores
• GLOW, a neural network compiler, which generates code “ahead of time” for Cortex-M cores and DSP

Presentation

Accelerating Machine Learning on NXP i.MX 8 Microprocessors and Crossover MCUs Using Open-Source Frameworks 

What You Will Learn

• Discover NXP EDGEVERSE^™
• Explorei.MX 8 applications processors
• Learn more about i.MX RT crossover MCUs