Course Outline
Introduction
- Differentiating Microcontrollers from Microprocessors
- Microcontrollers Tailored for Machine Learning Applications
Overview of TensorFlow Lite Features for Government
- On-device Machine Learning Inference for Enhanced Efficiency
- Addressing Network Latency Issues
- Managing Power Constraints Effectively
- Ensuring Data Privacy and Security
Constraints of a Microcontroller in Public Sector Applications
- Energy Consumption and Physical Size Considerations
- Limited Processing Power, Memory, and Storage Capabilities
- Restricted Operational Functions
Getting Started with Microcontroller Development for Government
- Setting Up the Development Environment
- Executing a Simple Hello World Program on the Microcontroller
Creating an Audio Detection System for Government Use
- Acquiring a TensorFlow Model Suitable for Government Applications
- Converting the Model to a TensorFlow Lite FlatBuffer
Serializing the Code for Government Systems
- Transforming the FlatBuffer into a C Byte Array for Efficient Storage and Execution
Working with Microcontroller's C++ Libraries for Government Projects
- Coding the Microcontroller to Meet Government Specifications
- Gathering Data in Compliance with Public Sector Standards
- Performing Inference on the Controller to Ensure Real-time Analysis
Verifying the Results for Government Applications
- Conducting a Unit Test to Validate the End-to-End Workflow for Government Use
Creating an Image Detection System for Government Operations
- Classifying Physical Objects from Image Data for Enhanced Public Sector Functionality
- Developing a TensorFlow Model from Scratch to Meet Specific Government Requirements
Deploying an AI-Enabled Device in the Field for Government Use
- Running Inference on a Microcontroller in Real-world Government Scenarios
Troubleshooting Common Issues for Government Applications
Summary and Conclusion for Government Users
Requirements
- C or C++ programming experience for government projects
- A basic understanding of Python for government applications
- A general understanding of embedded systems for government use
Audience
- Developers in the public sector
- Programmers working on government initiatives
- Data scientists with an interest in embedded systems development for government
Testimonials (2)
Sean was a dynamic speaker and the hands-on exercises were very interesting and I can see how they will be really applicable.
Temira Koenig - Yeshiva University
Course - Raspberry Pi for Beginners
The aquisition of useful knowlwdge and clarification of some things I was not sure of peviously.
