TinyML--TensorFlow Lite边缘计算(影印版)(英文版)

深度学习网络正变得越 来越小。Google Assistant 团队能用小到可以在微控制 器上运行的只有14KB大小 的模型来检测单词。这本实 用的图书将带你进入 TinyML的世界，让深度学 习和嵌入式系统结合在一起 ，用微小的设备创造出惊人 的东西。 Pete Warden和Daniel Situnayake在书中介绍了如 何训练足够小的模型以适应 任何环境。对于希望使用机 器学习构建嵌入式系统的软 件和硬件开发人员来说，这 是一本理想的指导书，它会 一步步指导你创建一系列 TinyML项目。本书并不要 求读者有机器学习或微控制 器的编程经验。

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