AI Projects with Raspberry Pi: High-performance artificial intelligence for robotics, security, home automation, and vision (Essentials)

AI Projects with Raspberry Pi: High-performance artificial intelligence for robotics, security, home automation, and vision (Essentials)

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With this essential guide, you’ll learn how to create all kinds of AI-powered projects on Raspberry Pi!

Combining Raspberry Pi hardware with artificial intelligence gives you new ways to interact with the world: turn your surroundings into a playing field with computer vision models, predict and adjust to changes in environmental conditions, and engage with people in natural ways.

You’ll learn how to enhance projects you build with Raspberry Pi computers and microcontrollers, with or without AI accelerator hardware. AI Projects with Raspberry Pi shows you how to run models directly on the CPU and on the Raspberry Pi AI HAT+ and AI HAT+ 2 neural network accelerators. Whether you’re using a Raspberry Pi Zero 2 W, Raspberry Pi 4, Raspberry Pi 5, or the ultra-low-cost Raspberry Pi Pico, you’ll find something in this guide from Raspberry Pi Press.

You’ll learn how to:

 

  • Identify and categorise objects in pictures or video
  • Recognise and generate speech
  • Translate from one language to another
  • Use generative AI models to create images or text
  • Train models to make predictions from sensor readings, such as temperature and acceleration

 

This book starts with a quick overview of the basics of artificial intelligence and machine learning, and then moves on to a variety of hands-on projects you can build yourself. It also includes full-colour illustrations as well as source code you can use in your own Raspberry Pi artificial intelligence adventures!

 

The Raspberry Pi Essentials series offers concise, hands-on learning to the most popular activities for Raspberry Pi’s computers and add-on boards. Also available in the series:

 

  • Conquer the command line
  • Simple electronics with GPIO Zero
  • Make games with Python
  • Experiment with the Sense HAT

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