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)
Artikelnr.: 88901948

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

Artikelnr.: 88901948

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Besondere Merkmale

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.

Produktdetails

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 Austria. B08YK4CC7S
Publisher BPB Publications
Publication date March 10, 2021
Edition 1st
Language English
File size 16.9 MB
Screen Reader Supported
Enhanced typesetting Enabled
X-Ray Not Enabled
Word Wise Not Enabled
Print length 554 pages
Page Flip Enabled
Item Weight0.5 lbs (230 grams)

Für wen ist das Produkt geeignet?

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.

PRODUKTBESCHREIBUNG

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

Haben Sie eine Frage? Mit uns chatten

Kundenfragen und -antworten

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

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

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

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

Software Development Editorial Review

Image Processing Masterclass with Python: 50+ Solutions and Techniques is a comprehensive resource published by BPB Publications, featuring 554 pages of in-depth content focused on tackling complex digital image processing challenges using tools like Numpy, Scipy, Pytorch, and Keras. This first edition, released on March 10, 2021, supports screen readers and enables enhanced typesetting, ensuring great accessibility for learners. Students and professionals alike have praised this masterclass for its practical approach and clear explanations, making it easier to understand intricate concepts in image processing while solving real-world problems.

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Vorteile

  • Comprehensive coverage of image processing techniques
  • Practical solutions for real-world challenges
  • Accessible for beginners and professionals
  • Uses popular Python libraries for implementation
  • Engaging teaching style enhances learning

Nachteile

  • Some concepts may require prior programming knowledge

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