Machine Learning with the Raspberry Pi
Produktnummer:
187478a3a0d76b442991d32386f0f5a416
Autor: | Norris, Donald J. |
---|---|
Themengebiete: | ANN Pi CNN Pi Computer vision Embedded neural network OpenCV Raspberry PI SVM Pi deep learning machine learning supervised learning |
Veröffentlichungsdatum: | 30.11.2019 |
EAN: | 9781484251737 |
Sprache: | Englisch |
Seitenzahl: | 568 |
Produktart: | Kartoniert / Broschiert |
Verlag: | APRESS |
Untertitel: | Experiments with Data and Computer Vision |
Produktinformationen "Machine Learning with the Raspberry Pi"
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.What You'll LearnAcquire a working knowledge of current ML Use the Raspberry Pi to implement ML techniques and algorithmsApply AI and ML tools and techniques to your own work projects and studiesWho This Book Is ForEngineers and scientists but also experienced makers and hobbyists. Motivated high school students who desire to learn about ML can benefit from this material with determination.

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