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Computer Vision with Maker Tech: Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning - Brossura
- EditoreApress
- Data di pubblicazione2021
- ISBN 10 1484268202
- ISBN 13 9781484268209
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero edizione1
- Numero di pagine248
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Computer Vision with Maker Tech: Detecting People with a Raspberry Pi, a Thermal Camera, and Machine Learning (Paperback or Softback)
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Apress 2/25/2021, 2021
ISBN 10: 1484268202
ISBN 13: 9781484268209
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Paperback or Softback. Condizione: New. Computer Vision with Maker Tech: Detecting People with a Raspberry Pi, a Thermal Camera, and Machine Learning 0.78. Book. Codice articolo BBS-9781484268209
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Computer Vision with Maker Tech : Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning
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Computer Vision with Maker Tech: Detecting People with a Raspberry Pi, a Thermal Camera, and Machine Learning
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Harness the power of machine learning for IoT applicationsBuild a Computer Vision system with low-cost Maker hardwareGain a foothold in the advancing realm of machine learningFabio Manganiello is a 15 year veteran in machine learnin. Codice articolo 437482610
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Computer Vision with Maker Tech : Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning
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Computer Vision with Maker Tech : Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning
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Computer Vision with Maker Tech
Print on DemandDa: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Harness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to program and assemble a voice-controlled security.You'll learn the differences between supervised and unsupervised learning and how the nuts-and-bolts of a neural network actually work. You'll also learn to identify and measure the metrics that tell how well your classifier is doing. An overview of other types of machine learning techniques, such as genetic algorithms, reinforcement learning, support vector machines, and anomaly detectors will get you up and running with a familiarity of basic machine learning concepts. Chapters focus on the best practices to build models that can actually scale and are flexible enough to be embedded in multiple applications and easily reusable.With those concepts covered, you'll dive into the tools for setting up a network to collect and process the data points to be fed to our models by using some of the ubiquitous and cheap pieces of hardware that make up today's home automation and IoT industry, such as the RaspberryPi, Arduino, ESP8266, etc.Finally, you'll put things together and work through a couple of practical examples. You'll deploy models for detecting the presence of people in your house, and anomaly detectors that inform you if some sensors have measured something unusual. And you'll add a voice assistant that uses your own model to recognize your voice.What You'll LearnDevelop a voice assistant to control your IoT devicesImplement Computer Vision to detect changes in an environmentGo beyond simple projects to also gain a grounding machine learning in generalSee how IoT can become 'smarter' with the inception of machine learning techniquesBuild machine learning models using TensorFlow and OpenCVWho This Book Is ForMakers and amateur programmers interested in taking simple IoT projects to the next level using TensorFlow and machine learning. Also more advanced programmers wanting an easy on ramp to machine learning concepts. 248 pp. Englisch. Codice articolo 9781484268209
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Computer Vision With Maker Tech: Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning
Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. 234 pages. 9.00x6.00x0.75 inches. In Stock. Codice articolo x-1484268202
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Computer Vision with Maker Tech: Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Condizione: New. In. Codice articolo ria9781484268209_new
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Computer Vision with Maker Tech : Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning
Print on DemandDa: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Harness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to program and assemble a voice-controlled security.You'll learn the differences between supervised and unsupervised learning and how the nuts-and-bolts of a neural network actually work. You'll also learn to identify and measure the metrics that tell how well your classifier is doing. An overview of other types of machine learning techniques, such as genetic algorithms, reinforcement learning, support vector machines, and anomaly detectors will get you up and running with a familiarity of basic machine learning concepts. Chapters focus on the best practices to build models that can actually scale and are flexible enough to be embedded in multiple applications and easily reusable.With those concepts covered, you'll dive into the tools for setting up a network to collect and process the data points to be fed to our models by using some of the ubiquitous and cheap pieces of hardware that make up today's home automation and IoT industry, such as the RaspberryPi, Arduino, ESP8266, etc.Finally, you'll put things together and work through a couple of practical examples. You'll deploy models for detecting the presence of people in your house, and anomaly detectors that inform you if some sensors have measured something unusual. And you'll add a voice assistant that uses your own model to recognize your voice.What You'll LearnDevelop a voice assistant to control your IoT devicesImplement Computer Vision to detect changes in an environmentGo beyond simple projects to also gain a grounding machine learning in generalSee how IoT can become 'smarter' with the inception of machine learning techniquesBuild machine learning models using TensorFlow and OpenCVWho This Book Is ForMakers and amateur programmers interested in taking simple IoT projects to the next level using TensorFlow and machine learning. Also more advanced programmers wanting an easy on ramp to machine learning concepts. Codice articolo 9781484268209
Quantità: 1 disponibili