Preface 1. Introduction Embedded Devices Changing Landscape 2. Getting Started Who Is This Book Aimed At? What Hardware Do You Need? What Software Do You Need? What Do We Hope You'll Learn? 3. Getting Up to Speed on Machine Learning What Machine Learning Actually Is The Deep Learning Workflow Decide on a Goal Collect a Dataset Design a Model Architecture Train the Model Convert the Model Run Inference Evaluate and Troubleshoot Wrapping Up 4. The "Hello World" of TinyML: Building and Training a Model What We're Building Our Machine Learning Toolchain Python and Jupyter Notebooks Google Colaboratory TensorFlow and Keras Building Our Model Importing Dependencies Generating Data Splitting the Data Defining a Basic Model Training Our Model Training Metrics Graphing the History Improving Our Model Testing Converting the Model for TensorFlow Lite Converting to a C File Wrapping Up 5. The "Hello World" of TinyMt: Builfling an Application Walking Through the Tests Including Dependencies Setting Up the Test Getting Ready to Log Data Mapping Our Model Creating an AllOpsResolver Defining a Tensor Arena Creating an Interpreter Inspecting the Input Tensor Running Inference on an Input Reading the Output Running the Tests Project File Structure Walking Through the Source Starting with main_functions.cc Handling Output with output_handler.cc Wrapping Up main_functions.cc Understanding main.cc Running Our Application Wrapping Up 6. The "Hello World" of TinyML: Deploying to Microcontrollers, What Exactly Is a Microcontroller? Arduino Handling Output on Arduino ���� 7. Wake-Word Detection: Training a Model 9. Person Detection: Building an Application 10. Person Detection: Training a Model 11. Magic Wand: Building an Application 12. Magic Wand: Training a Model 13. TensorFlow Lite for Microcontrollers 14. Designing Your Own TinyML Applications 15. Optimizing Latency 16. Optimizing Energy Usage 17. Optimizing Model and Binary Size 18. Debugging 19. Porting Models from TensorFlow to TensorFlow Lite 20. Privacy, Security, and Deployment 21. Learning More A. Using and Generating an Arduino Library Zip B. Capturing Audio on Arduino Index