演讲者：
-
Anthony Huereca
MCU Applications Engineer
实践研讨会：使用i.MX RT跨界MCU部署机器学习
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关于本次培训
Prerequisites are needed for this class. In this session, we will review the latest updates to the NXP eIQ™ ML software development environment for applications processors and, more specifically, NXP MCUs. Attendees will learn how to deploy a trained neural network model on the latest i.MX RT crossover MCU—implementing an end-to-end use case—using MCUXpresso as the development environment.
You may purchase the hardware necessary for this class. Make your purchase with our exclusive board sponsor Digi-Key for a bundle discount. Please note, limited supplies are available. Use the link to complete your order now.Click here
语言
- 英文
演示
获取完整的课程演示相关资源
- eIQ Glow for RT1060 Lab
- eIQ TensorFlow Lite Transfer Learning Lab - With Camera
- eIQ TensorFlow Lite Transfer Learning Lab - Flowers
架构及工具
- Arm® 处理器 - Kinetis Cortex®-M 微控制器, LPC微控制器, i.MX 应用处理器
课程级别
- 基础版
设计阶段
- 定义（意识创建，机会定位）
