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Advanced Methods and Deep Learning in Computer Vision

Advanced Methods and Deep Learning in Computer Vision
  • Author : E. R. Davies,Matthew Turk
  • Publisher : Academic Press
  • Release : 09 November 2021
GET THIS BOOKAdvanced Methods and Deep Learning in Computer Vision

Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5–10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This

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Deep Learning in Computer Vision

Deep Learning in Computer Vision
  • Author : Mahmoud Hassaballah,Ali Ismail Awad
  • Publisher : CRC Press
  • Release : 23 March 2020
GET THIS BOOKDeep Learning in Computer Vision

Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such

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Deep Learning in Computer Vision

Deep Learning in Computer Vision
  • Author : Mahmoud Hassaballah,Ali Ismail Awad
  • Publisher : CRC Press
  • Release : 23 March 2020
GET THIS BOOKDeep Learning in Computer Vision

Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such

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Deep Learning for Computer Vision

Deep Learning for Computer Vision
  • Author : Rajalingappaa Shanmugamani
  • Publisher : Packt Publishing Ltd
  • Release : 23 January 2018
GET THIS BOOKDeep Learning for Computer Vision

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks Key Features Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision Combine the power of Python, Keras, and TensorFlow to build deep learning models for object detection, image classification, similarity learning, image captioning, and more Includes tips on optimizing and improving the performance of your models under various constraints Book Description Deep learning has shown its

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Modern Deep Learning and Advanced Computer Vision

Modern Deep Learning and Advanced Computer Vision
  • Author : J. Nedumaan,Prof Thomas Binford,J. Lepika,J. Tisa,J. Ruby,P. S. Jagadeesh Kumar
  • Publisher : Anonim
  • Release : 08 December 2019
GET THIS BOOKModern Deep Learning and Advanced Computer Vision

Computer vision has enormous progress in modern times. Deep learning has driven and inferred a range of computer vision problems, such as object detection and recognition, face detection and recognition, motion tracking and estimation, transfer learning, action recognition, image segmentation, semantic segmentation, robotic vision. The chapters in this book are persuaded towards the applications of advanced computer vision using modern deep learning techniques. The authors trust in making the readers with more interesting illustrations in understanding the concepts of deep

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Machine Learning in Computer Vision

Machine Learning in Computer Vision
  • Author : Nicu Sebe,Ira Cohen,Ashutosh Garg,Thomas S. Huang
  • Publisher : Springer Science & Business Media
  • Release : 30 March 2006
GET THIS BOOKMachine Learning in Computer Vision

The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the

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Advanced Machine Vision Paradigms for Medical Image Analysis

Advanced Machine Vision Paradigms for Medical Image Analysis
  • Author : Tapan K. Gandhi,Siddhartha Bhattacharyya,Sourav De,Debanjan Konar,Sandip Dey
  • Publisher : Academic Press
  • Release : 11 August 2020
GET THIS BOOKAdvanced Machine Vision Paradigms for Medical Image Analysis

Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to the unstructured

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Machine Learning for OpenCV - Advanced Methods and Deep Learning

Machine Learning for OpenCV - Advanced Methods and Deep Learning
  • Author : Michael Beyeler
  • Publisher : Anonim
  • Release : 28 January 2022
GET THIS BOOKMachine Learning for OpenCV - Advanced Methods and Deep Learning

A practical introduction to the world of machine learning and image processing using OpenCV and Python About This Video Understand, perform, and experiment with machine learning techniques using this easy-to-follow guide Grasp the advanced concepts of bootstrapping, boosting, voting, and bagging Evaluate, compare, and choose the right algorithm for any task Load, store, edit and visualize data using OpenCV and Python In Detail Computer vision is one of today's most exciting application fields of Machine Learning, From self-driving cars to

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Mastering Computer Vision with TensorFlow 2.x

Mastering Computer Vision with TensorFlow 2.x
  • Author : Krishnendu Kar
  • Publisher : Packt Publishing Ltd
  • Release : 15 May 2020
GET THIS BOOKMastering Computer Vision with TensorFlow 2.x

Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming language Key Features Gain a fundamental understanding of advanced computer vision and neural network models in use today Cover tasks such as low-level vision, image classification, and object detection Develop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the OpenVINO toolkit Book Description Computer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. This book

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Deep Learning for Vision Systems

Deep Learning for Vision Systems
  • Author : Mohamed Elgendy
  • Publisher : Manning Publications
  • Release : 10 November 2020
GET THIS BOOKDeep Learning for Vision Systems

How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. Summary Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more. Amazing new computer

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Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch
  • Author : V Kishore Ayyadevara,Yeshwanth Reddy
  • Publisher : Packt Publishing Ltd
  • Release : 27 November 2020
GET THIS BOOKModern Computer Vision with PyTorch

Starting from the basics of neural networks, this book covers over 50 applications of computer vision and helps you to gain a solid understanding of the theory of various architectures before implementing them. Each use case is accompanied by a notebook in GitHub with ready-to-execute code and self-assessment questions.

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Deep Learning

Deep Learning
  • Author : Ian Goodfellow,Yoshua Bengio,Aaron Courville
  • Publisher : MIT Press
  • Release : 10 November 2016
GET THIS BOOKDeep Learning

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts.

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