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Course Outline
Introduction
- Differences between Microcontrollers and Microprocessors.
- Microcontrollers designed for machine learning tasks.
Overview of TensorFlow Lite Features
- On-device machine learning inference.
- Resolving network latency issues.
- Addressing power constraints.
- Preserving privacy.
Microcontroller Constraints
- Energy consumption and physical size.
- Processing power, memory, and storage capacity.
- Limited operational capabilities.
Getting Started
- Preparing the development environment.
- Executing a simple 'Hello World' programme on the Microcontroller.
Developing an Audio Detection System
- Obtaining a TensorFlow Model.
- Converting the Model into a TensorFlow Lite FlatBuffer.
Serialising the Code
- Converting the FlatBuffer into a C byte array.
Utilising Microcontroller C++ Libraries
- Coding the microcontroller.
- Gathering data.
- Executing inference on the controller.
Verifying Results
- Running a unit test to demonstrate the end-to-end workflow.
Developing an Image Detection System
- Classifying physical objects from image data.
- Creating a TensorFlow model from scratch.
Deploying an AI-Enabled Device
- Executing inference on a microcontroller in the field.
Troubleshooting
Summary and Conclusion
Requirements
- Experience in C or C++ programming.
- A fundamental understanding of Python.
- A general knowledge of embedded systems.
Target Audience
- Developers.
- Programmers.
- Data scientists with an interest in embedded systems development.
21 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3900 € + VAT*
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Testimonials (2)
The trainer was very interactive and steadily paced.
Carolyn Yaacoby - Yeshiva University
Course - Raspberry Pi for Beginners
Just getting off the ground and doing some basic things was super useful
