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Image Classification Using Python and Techniques of Computer Vision and Machine Learning

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Computer Vision Projects with OpenCV and Python 3

learning developers who wish to build exciting Computer Vision projects using the power of machine learning and OpenCV will find this book useful;

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Practical Machine Learning and Image Processing

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins;

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Practical Machine Learning and Image Processing

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins;

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Mastering OpenCV 4 with Python

application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras. By the end of this book;

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Hands-On Image Processing with Python

Computer Vision Engineers, and machine learning developers who are good with Python programming and want to explore details and complexities;

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Deep Learning for Computer Vision

kinds of deep learning model from scratch to solve specific problems in Computer Vision Combine the power of Python, Keras, and TensorFlow to;

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Learn Computer Vision Using Opencv: With Deep Learning Cnns and Rnns

introduction to computer vision followed by setting up OpenCV from scratch using Python. The next section discusses specialized image processing and;

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Python Image Processing Cookbook

Explore Keras, scikit-image, open source computer vision (OpenCV), Matplotlib, and a wide range of other Python tools and frameworks to;

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Machine Learning for OpenCV 4

implement them using OpenCV 4. If you want to build real-world Computer Vision and image processing applications powered by machine learning, then;

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Learning OpenCV 3 Computer Vision with Python -

Unleash the power of computer vision with Python using OpenCV About This Book * Create impressive applications with OpenCV and Python;

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Computer Vision Projects with PyTorch

will be able to build your own computer vision projects using transfer learning and PyTorch. What You Will Learn Solve problems;

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TensorFlow 2.0 Computer Vision Cookbook

machine learning and deep learning techniques Key Features Develop, train, and use deep learning algorithms for computer vision tasks using;

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Machine Learning and Deep Learning Using Python and TensorFlow

Deep Learning Using Python and TensorFlow includes valuable case studies across professional domains, including banking, insurance, e-commerce;

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Mastering Computer Vision with TensorFlow 2.x

learning and want to build expert-level computer vision applications. In addition to familiarity with TensorFlow, Python knowledge will be required;

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Genetic Programming for Image Classification

in computer vision and machine learning with a wide range of applications. Feature learning is a fundamental step in image classification, but it;

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Genetic Programming for Image Classification

in computer vision and machine learning with a wide range of applications. Feature learning is a fundamental step in image classification, but it;

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Learning OpenCV 4 Computer Vision with Python 3

science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but;

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OpenCV 3 Computer Vision with Python Cookbook

Recipe-based approach to tackle the most common problems in Computer Vision by leveraging the functionality of OpenCV using Python APIs Key;

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Building Machine Learning Systems with Python

techniques and methodologies such as classification, sentiment analysis, computer vision, reinforcement learning, and neural networks. What you;

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Classification, Parameter Estimation and State Estimation

techniques and technologies for machine learning in computer vision systems, including: * PRTools5 software for MATLAB especially the latest;

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OpenCV with Python Blueprints

Design and develop advanced computer vision projects using OpenCV with Python About This Book * Program advanced computer vision;

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Advanced Machine Vision Paradigms for Medical Image Analysis

of medical image processing Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision;

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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply;

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OpenCV 4 with Python Blueprints

Get to grips with traditional computer vision algorithms and deep learning approaches, and build real-world applications with OpenCV and;

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Raspberry Pi Computer Vision Programming

restoration to build real-life computer vision applications Key Features Explore the potential of computer vision with Raspberry Pi and Python;

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Advanced Data Analytics Using Python

using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural;

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