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Deep Learning in Computer Vision: Principles and Applications

Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions;

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Deep Learning in Computer Vision

Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions;

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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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Computer Vision: Principles, Algorithms, Applications, Learning

Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and;

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Mastering OpenCV 4 with Python

Create computer vision and deep learning web applications Who this book is forThis book is designed for computer vision developers, engineers;

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Deep Learning for Vision Systems

, and much, much more. Amazing new computer vision applications are developed every day, thanks to rapid advances in AI and deep learning (DL;

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Computer Analysis of Images and Patterns

and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019: First Workshop on Deep-learning based Computer Vision for UAV, DL-UAV 2019;

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Practical Computer Vision Applications Using Deep Learning with CNNs

computer vision and why the CNN deep-learning model is the state-of-art solution. CNNs are discussed from scratch to demonstrate how they are;

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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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Domain Adaptation in Computer Vision with Deep Learning

researchers working in artificial intelligence, machine learning, deep learning and computer vision. Industry professionals and entrepreneurs seeking;

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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (Aicv2020)

learning and applications, image processing and computer vision, intelligent systems and applications, and intelligent networks.;

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Machine Learning for OpenCV 4

understanding the new features and setting up OpenCV 4 to build your computer vision applications. You will explore the fundamentals of machine learning;

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Python Deep Learning

computer vision and NLP Learn how a computer can navigate in complex environments with reinforcement learning Book DescriptionWith the surge;

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Mastering Computer Vision with TensorFlow 2.x

analysis. You'll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network;

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Deep Learning through Sparse and Low-Rank Modeling

variety of applications in computer vision, machine learning, signal processing, and data mining. This book will be highly useful for;

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Challenges and Applications for Implementing Machine Learning in Computer Vision

efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a;

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Challenges and Applications for Implementing Machine Learning in Computer Vision

efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a;

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Multimodal Scene Understanding

focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources;

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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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Computer Vision ACCV 2020

vision Part IV: deep learning for computer vision, generative models for computer vision Part V: face, pose, action, and gesture; video analysis;

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Computer Vision ACCV 2020

vision Part IV: deep learning for computer vision, generative models for computer vision Part V: face, pose, action, and gesture; video analysis;

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Computer Vision ACCV 2020

vision Part IV: deep learning for computer vision, generative models for computer vision Part V: face, pose, action, and gesture; video analysis;

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Computer Vision ACCV 2020

vision Part IV: deep learning for computer vision, generative models for computer vision Part V: face, pose, action, and gesture; video analysis;

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Deep Learning in Mining of Visual Content

in Digital form is constantly growing in volume. In such active domains as Computer Vision and Robotics visual information understanding is based on;

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Deep Learning for Medical Image Analysis

book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that;

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Computer Vision

Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes;

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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)

This book presents the 2nd International Conference on Artificial Intelligence and Computer Visions (AICV 2021) proceeding, which took;

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