NXP Technology On-Site Toolkit

Review additional learning materials specially selected to complement the hands-on workshop topics presented:

Hands-On Workshop: eIQ Toolkit: ML Model Conversion, Optimization and Deployment for i.MX RT Crossover MCUs
Hands-On Workshop: eIQ Toolkit: Training Image Classification Models for i.MX Applications Processors
Hands-On Workshop: Using the Machine Learning (ML) Software Application Packs to Develop a ML-Based State Monitor for Motor Control
Training Academy
• AI and Machine Learning Training Academy
Application Pack
• The ML Software Application Pack Site Which Includes the App Note
App Notes
• Building and Benchmarking Deep Learning Models for Smart Sensing Appliances on MCUs
• Glow Memory Analysis 
• Handwritten Digit Recognition Using TensorFlow Lite Micro on i.MX RT devices 
• Security for Machine Learning 
• Transfer Learning and the Importance of Datasets 
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Community Posts
• Getting Started with TensorFlow Lite for Microcontrollers on i.MX RT
• Getting Started with Glow on i.MX RT
• Getting Started with eIQ Portal on i.MX RT
• Machine Learning Goes Mainstream - NXP’s eIQ^®ML Software Development Environment Just Got Smarter and Friendlier
• ML-Based System State Monitor
• NXP’s Machine Learning Academy Offers (Cutting) Edge ML Training
eIQ FAQs
Hands-On Workshop: Smart Touchless HMI Solution
• NXP EdgeReady Smart Touchless HMI Solution Overview 
Hands-On Workshop: Building and Measuring Energy Consumption of a Design with MCUXpresso IDE and Config Tools
• Basic MCUXpresso IDE Debugging
• Config Tools Overview
Hands-On Workshop: Building Your First Zephyr Application on NXP MCUs
• Zephyr Overview