Intelligent learning computer vision (81 résultats)

Etat : Fine. Used book that is in almost brand-new condition. May contain a remainder mark. Better World Books: Buy Books. Do Good.

Etat : New.

Paperback. Etat : As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

Etat : New. pp. 96.

Etat : New. In English.

Paperback. Etat : New.

Etat : New.

Hardback or Cased Book. Etat : New. Computer Vision and Machine Learning for Intelligent Sensing Systems. Book.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Hardback. Etat : New.

Taschenbuch. Etat : Neu. Neuware.

Hardback. Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

fester Einband. 15,5, x 23,5 cm., 492 und 486 S. Leinen mit O-Schutzumschlag, dieser leicht berieben, beide Bände mit 1 kl. Namenszug a.d. flieg. Vorsatz. Kopfschnitt min angestaubt, ansonsten sehr gute Exemplare.

Etat : New. In English.

Taschenbuch. Etat : Neu. Neuware - Build AI That Thinks at the Edge-Not in the Cloud. What if you could build intelligent devices that recognize voices, classify images, detect motion, predict equipment failures, and automate real-world decisions-all on a low-cost ESP32 microcontroller ESP32 and TinyML from Beginner to Expert is your complete hands-on guide to mastering Edge AI and Embedded Machine Learning using the powerful ESP32 ecosystem. Whether you're a beginner exploring microcontrollers for the first time or an experienced developer looking to deploy production-ready TinyML applications, this book provides the practical knowledge and real-world projects needed to build intelligent embedded systems from the ground up. Instead of overwhelming you with theory, this book follows a step-by-step, project-driven approach that teaches you how to design, train, optimize, deploy, secure, and scale AI-powered IoT devices that make decisions locally-without relying on constant cloud connectivity. Inside this comprehensive guide, you'll learn how to: - Master ESP32 architecture, hardware, and development boards- Program ESP32 using Arduino IDE, ESP-IDF, and PlatformIO- Build TinyML applications with TensorFlow Lite Micro and Edge Impulse- Collect, clean, and prepare sensor data for machine learning- Train, optimize, quantize, and deploy lightweight AI models- Build computer vision systems with ESP32-CAM- Create voice recognition, keyword spotting, and audio intelligence applications- Develop gesture recognition and motion detection systems using IMU sensors- Design intelligent IoT solutions with Wi-Fi, MQTT, and cloud integration- Build smart home, industrial automation, predictive maintenance, healthcare, agriculture, and environmental monitoring projects- Optimize memory usage, improve inference speed, reduce power consumption, and extend battery life- Secure Edge AI devices with modern embedded security practices- Deploy OTA updates, manage AI model versions, and troubleshoot real-world TinyML systems- Build complete production-ready Edge AI applications with confidence>Whether your goal is to become an Embedded AI engineer, IoT developer, robotics enthusiast, electronics maker, researcher, engineering student, or professional developer, this book provides the roadmap to mastering one of today's fastest-growing technology fields. The future of AI isn't only in massive data centers-it's running on tiny devices at the edge.Start building the next generation of intelligent embedded systems today.…

Hardback. Etat : New.

Taschenbuch. Etat : Neu. Real-Time Intelligent Vegetable Grading Using YOLOv12 | Real-Time Vegetable Freshness and Quality Grading Using YOLO-Based Deep Learning and Computer Vision Techniques | Senthil G A (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209771255 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

paperback. Etat : New. Language:Chinese.Paperback.Pub Date:2022-06-01 Pages:320 Publisher:China Water Resources and Hydropower Press Deep Learning Practice: Computer Vision Development and Application Based on TensorFlow 2.X starts from the construction of the environment and the basic grammar of TensorFlow 2.X . and gradually go deep into the theory and practical application of algorithm models in the field of computer vision. and focus on how to use the TensorFlow 2.X framework to implement various classic deep l.…

Hardback. Etat : New.

Etat : New. Print on Demand.

Etat : New. In English.

Etat : New. In English.

Etat : New. In English.

Etat : New. In English.

Etat : New. In English.

Etat : New. 1st ed. 2021 edition NO-PA16APR2015-KAP.