Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition)
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Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition)
Over 50 problems solved with classical algorithms + ML / DL models
Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition)
товар №: 88901948

Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy,

89% of respondents would recommend this to a friend

товар №: 88901948

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What Stands Out

Comprehensive Coverage
Offers over 50 solutions and techniques specifically for complex digital image processing challenges. Tailored for both beginners and advanced users aiming to enhance their skills with practical applications.
Expert Guidance
Utilizes popular libraries like Numpy, Scipy, Pytorch, and Keras, ensuring learners benefit from industry-standard practices. Designed by experts, it provides deep insights tailored for real-world applications.
Hands-On Approach
Emphasizes practical learning through step-by-step solutions, making it easy for users to implement concepts immediately, thereby bridging the gap between theory and real-world implementation in image processing.

Информация о продукте

Shop Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition) online at a best price in Azerbaijan. B08YK4CC7S
Publisher BPB Publications
Publication date March 10, 2021
Language English
Print length 428 pages
ISBN-10 9389898641
ISBN-13 978-9389898644
Item Weight 1.63 pounds (740 grams)
Dimensions 7.5 x 0.97 x 9.25 inches (19.1 x 2.5 x 23.5 cm)

Who Should Buy?

Suitable For
  • Aspiring Developers

    Individuals eager to learn digital image processing techniques using Python libraries like Numpy and Pytorch.

  • Data Science Enthusiasts

    Those interested in enhancing their skills in data analysis and machine learning through practical image processing applications.

  • Academics and Researchers

    Students or professionals conducting research that involves advanced image processing challenges in their projects or studies.

Not Suitable For
  • Beginners in Python

    Complete newcomers to Python programming may find the content too advanced without foundational knowledge.

ОПИСАНИЕ ТОВАРА

Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition)

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Вопросы и ответы клиентов

  • вопрос: What level of expertise is required to benefit from this book?

    отвечать: It's suitable for all levels, especially those interested in image processing and machine learning.
  • вопрос: Will I get practical experience with coding in this book?

    отвечать: Yes, the book includes practical coding examples and solutions.
  • вопрос: Is this book focused solely on theory?

    отвечать: No, it emphasizes practical applications through hands-on problem-solving.

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Плюсы

  • Comprehensive coverage of topics
  • Hands-on practical exercises
  • Clear explanations and examples
  • Suitable for all skill levels
  • Real-world applications discussed

Минусы

  • Some sections could use more depth.

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AZN 41

Закажите сейчас и получите товар приблизительно Пятница, Октябрь 09

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Особенности и преимущества

  • Master image processing with over 50 practical solutions.
  • Harness Python libraries like Numpy, Scipy, and Keras.
  • Embrace a problem-driven approach for hands-on learning.
  • Explore facial image processing using advanced ML/DL techniques.
  • Transform foundational knowledge into real-world applications.
  • Perfect for computer vision users and machine learning engineers.

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