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Computer Vision Projects with OpenCV and Python 3: Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
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Computer Vision Projects with OpenCV and Python 3: Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
Gain a working knowledge of advanced machine learning and explore Python's powerful tools for extracting data from images and videos
Computer Vision Projects with OpenCV and Python 3: Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
物品 #: 13078226

Computer Vision Projects with OpenCV and Python 3: Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow

78% of respondents would recommend this to a friend

物品 #: 13078226

HKD 382

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Gain a working knowledge of advanced machine learning and explore Python's powerful tools for extracting data from images and videos
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What Stands Out

Hands-on Projects
Engages learners with diverse, practical computer vision projects that enhance understanding of OpenCV and Python, bridging theory with real-world applications.
Comprehensive Guidance
Provides step-by-step instructions and detailed explanations, making it accessible for beginners while also offering valuable insights for experienced developers.
Community Support
Connects learners with an active community for troubleshooting and inspiration, fostering collaborative learning and problem-solving in the field of computer vision.

產品詳情

Build interactive computer vision projects using OpenCV, Python, and TensorFlow. Learn machine learning techniques and implement six end-to-end projects. Shop now at Ubuy 香港.
Publisher Packt Publishing
Publication date December 28, 2018
Language English
Print length 182 pages
ISBN-10 178995455X
ISBN-13 978-1789954555
Item Weight 11.4 ounces (323.19 grams)
Dimensions 7.5 x 0.41 x 9.25 inches (19.1 x 1 x 23.5 cm)

Who Should Buy?

Suitable For
  • Beginners to CV

    Ideal for individuals new to computer vision, providing practical projects to build foundational skills with OpenCV and Python.

  • Students in Tech

    Great for students studying computer science or engineering who want to enhance their understanding through hands-on projects.

  • Hobbyist Developers

    Perfect for hobbyists looking to explore and experiment with computer vision applications in personal projects or tech interests.

Not Suitable For
  • Expert Users

    Advanced users may find the content too basic and not sufficiently challenging to engage with their skills.

產品敘述

Computer Vision Projects with OpenCV and Python 3: Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow

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Intelligence & Semantics Editorial Review

Computer Vision Projects with OpenCV and Python 3 presents six comprehensive projects that leverage machine learning techniques using OpenCV, Python, and TensorFlow. With a print length of 182 pages published by Packt Publishing on December 28, 2018, this book serves as a valuable resource for those looking to deepen their understanding of computer vision. Readers appreciate the structured approach to projects, allowing them to learn through practical implementation. The accessible language makes it suitable for both beginners and those with some prior knowledge of programming. It's a solid choice for anyone interested in enhancing their technical skills in computer vision.

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優點

  • Features six comprehensive end-to-end projects
  • Integrates machine learning concepts effectively
  • Uses popular tools like OpenCV and TensorFlow
  • Clear explanations suitable for beginners
  • Well-structured project approach

缺點

  • Some readers may desire more advanced projects

Product Price History

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HKD 382

現在訂購，約可在下列時間收貨： 星期五, 十月 09

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特色和優勢

  • Implement image classification and object detection using machine learning and deep learning
  • Perform image classification, object detection, image segmentation, and other Computer Vision tasks
  • Crisp content with a practical approach to solving real-world problems in Computer Vision
  • Install and run major Computer Vision packages within Python
  • Apply powerful support vector machines for simple digit classification
  • Understand deep learning with TensorFlow

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