Tag: Computer Vision & Pattern Recognition

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Neural Network Computer Vision with OpenCV 5: Build computer vision solutions using Python and DNN module Front Cover

Neural Network Computer Vision with OpenCV 5: Build computer vision solutions using Python and DNN module

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Developing Kaggle Notebooks: Pave your way to becoming a Kaggle Notebooks Grandmaster Front Cover

Developing Kaggle Notebooks: Pave your way to becoming a Kaggle Notebooks Grandmaster

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Implementing MLOps in the Enterprise: A Production-First Approach Front Cover

Implementing MLOps in the Enterprise: A Production-First Approach

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Creating Infographics with Adobe Illustrator: Volume 1: Learn the Basics and Design Your First Infographic Front Cover

Creating Infographics with Adobe Illustrator: Volume 1: Learn the Basics and Design Your First Infographic

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Machine Learning Applications: From Computer Vision to Robotics Front Cover

Machine Learning Applications: From Computer Vision to Robotics

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The Science of Deep Learning Front Cover

The Science of Deep Learning

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Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects Front Cover

Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects

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Generative Adversarial Networks in Practice Front Cover

Generative Adversarial Networks in Practice

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Generative AI on AWS: Building Context-Aware Multimodal Reasoning Applications Front Cover

Generative AI on AWS: Building Context-Aware Multimodal Reasoning Applications

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Machine Learning for Beginners: Build and deploy Machine Learning systems using Python – 2nd Edition Front Cover

Machine Learning for Beginners: Build and deploy Machine Learning systems using Python – 2nd Edition

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Pythonic AI: A beginner’s guide to building AI applications in Python Front Cover

Pythonic AI: A beginner’s guide to building AI applications in Python

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Hands-On Unsupervised Learning Using Python Front Cover

Hands-On Unsupervised Learning Using Python

  • Length: 362 pages
  • Publication Date: 2021-05-21
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