Presented by
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Machine Learning SW Engineer, NXP Semiconductors
NXPリファレンスデザイン・ライブラリ
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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
What You Will Learn
- Discover NXP EDGEVERSE™
- Explorei.MX 8 applications processors
- Learn more about i.MX RT crossover MCUs
Additional Resources
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