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Machine Learning with the Raspberry Pi

Experiments with Data and Computer Vision

  • Donald J. Norris
Book

Table of contents

  1. Front Matter
    Pages i-ix
  2. Donald J. Norris
    Pages 49-133
  3. Donald J. Norris
    Pages 135-212
  4. Donald J. Norris
    Pages 213-277
  5. Donald J. Norris
    Pages 279-334
  6. Donald J. Norris
    Pages 335-385
  7. Donald J. Norris
    Pages 387-451
  8. Donald J. Norris
    Pages 501-553
  9. Back Matter
    Pages 555-568

About this book

Introduction

Using the Pi Camera and a Raspberry Pi board, expand and replicate interesting machine learning (ML) experiments.  This book provides a solid overview of ML and a myriad of underlying topics to further explore. Non-technical discussions temper complex technical explanations to make the hottest and most complex topic in the hobbyist world of computing understandable and approachable.

Machine learning, also commonly referred to as deep learning (DL), is currently being integrated into a multitude of commercial products as well as widely being used in industrial, medical, and military applications.  It is hard to find any modern human activity, which has not been "touched" by artificial intelligence (AI) applications. Building on the concepts first presented in Beginning Artificial Intelligence with the Raspberry Pi, you’ll go beyond simply understanding the concepts of AI into working with real machine learning experiments and applying practical deep learning concepts to experiments with the Pi board and computer vision. 

What you learn with Machine Learning with the Raspberry Pi can then be moved on to other platforms to go even further in the world of AI and ML to better your hobbyist or commercial projects.

Keywords

Raspberry PI ANN Pi CNN Pi Embedded neural network OpenCV Computer vision machine learning deep learning supervised learning SVM Pi PCA Pi

Authors and affiliations

  • Donald J. Norris
    • 1
  1. 1.BarringtonUSA

Bibliographic information