Advanced Methods and Deep Learning in Computer Vision

Written By E. R. Davies
Advanced Methods and Deep Learning in Computer Vision
  • Publsiher : Academic Press
  • Release : 15 October 2021
  • ISBN : 9780128221099
  • Pages : 550 pages
  • Rating : /5 from reviews
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Download or read book entitled Advanced Methods and Deep Learning in Computer Vision by author: E. R. Davies which was release on 15 October 2021 and published by Academic Press with total page 550 pages . This book available in PDF, EPUB and Kindle Format. Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasising machine and deep learning techniques that have come to the fore during the past 5-10 years. It provides clear explanations of principles and their algorithms supported by applications to demonstrate how vital methods and techniques have been put into practice. Classical topics are presented and taken further by emerging techniques; for example, the impact of learning machines and DNNs in 3D vision and motion. This book provides easy learning for the researcher and practitioner of advanced computer vision methods, and is a suitable textbook for a second course on computer vision, or a deep learning course, for the advanced undergraduate and graduate student. Topics include: achine 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. A reference on deep learning and advanced computer methods by leading people in the field Illustrates the principles with modern, real world applications Suitable self-learning and as a text for graduate courses

Advanced Methods and Deep Learning in Computer Vision

Advanced Methods and Deep Learning in Computer Vision
  • Author : E. R. Davies,Octavia Camps,Matthew Turk
  • Publisher : Academic Press
  • Release Date : 2021-10-15
  • Total pages : 550
  • ISBN : 9780128221099
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Summary : Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasising machine and deep learning techniques that have come to the fore during the past 5-10 years. It provides clear explanations of principles and their algorithms supported by applications to demonstrate how vital methods and techniques have ...

Deep Learning for Computer Vision

Deep Learning for Computer Vision
  • Author : Rajalingappaa Shanmugamani
  • Publisher : Packt Publishing Ltd
  • Release Date : 2018-01-23
  • Total pages : 310
  • ISBN : 9780128221099
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Summary : 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 ...

Mastering Computer Vision with TensorFlow 2 x

Mastering Computer Vision with TensorFlow 2 x
  • Author : Krishnendu Kar
  • Publisher : Packt Publishing Ltd
  • Release Date : 2020-05-15
  • Total pages : 430
  • ISBN : 9780128221099
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Summary : 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 ...

Deep Learning for Vision Systems

Deep Learning for Vision Systems
  • Author : Mohamed Elgendy
  • Publisher : Manning Publications
  • Release Date : 2020-11-10
  • Total pages : 480
  • ISBN : 9780128221099
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Summary : 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 ...

Deep Learning in Computer Vision

Deep Learning in Computer Vision
  • Author : Mahmoud Hassaballah,Ali Ismail Awad
  • Publisher : CRC Press
  • Release Date : 2020-03-23
  • Total pages : 322
  • ISBN : 9780128221099
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Summary : 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 ...

Applied Deep Learning and Computer Vision for Self Driving Cars

Applied Deep Learning and Computer Vision for Self Driving Cars
  • Author : Sumit Ranjan,Dr. S. Senthamilarasu
  • Publisher : Packt Publishing Ltd
  • Release Date : 2020-08-14
  • Total pages : 332
  • ISBN : 9780128221099
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Summary : This book teaches you the different techniques and methodologies associated while implementing deep learning solutions in self-driving cars. You will use real-world examples to implement various neural network architectures to develop your own autonomous and automated vehicle using the Python environment....

Advanced Deep Learning with Python

Advanced Deep Learning with Python
  • Author : Ivan Vasilev
  • Publisher : Packt Publishing Ltd
  • Release Date : 2019-12-12
  • Total pages : 468
  • ISBN : 9780128221099
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Summary : Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystem Key Features Get to grips with building faster and more robust deep learning architectures Investigate and train convolutional neural network (CNN) models with GPU-accelerated libraries such ...

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 : Unknown
  • Release Date : 2019-12-08
  • Total pages : 531
  • ISBN : 9780128221099
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Summary : 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 ...

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch
  • Author : V Kishore Ayyadevara,Yeshwanth Reddy
  • Publisher : Packt Publishing Ltd
  • Release Date : 2020-11-27
  • Total pages : 824
  • ISBN : 9780128221099
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Summary : 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....

Challenges and Applications for Implementing Machine Learning in Computer Vision

Challenges and Applications for Implementing Machine Learning in Computer Vision
  • Author : Kashyap, Ramgopal,Kumar, A.V. Senthil
  • Publisher : IGI Global
  • Release Date : 2019-10-04
  • Total pages : 293
  • ISBN : 9780128221099
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Summary : Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a ...

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition Emerging Research and Opportunities

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition  Emerging Research and Opportunities
  • Author : Chakraborty, Shouvik,Mali, Kalyani
  • Publisher : IGI Global
  • Release Date : 2020-03-13
  • Total pages : 271
  • ISBN : 9780128221099
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Summary : Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the ...

Advanced Deep Learning with R

Advanced Deep Learning with R
  • Author : Bharatendra Rai
  • Publisher : Packt Publishing Ltd
  • Release Date : 2019-12-17
  • Total pages : 352
  • ISBN : 9780128221099
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Summary : Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R libraries Key Features Implement deep learning algorithms to build AI models with the help of tips and tricks Understand how deep learning models operate using expert techniques Apply reinforcement learning, computer vision, GANs, and ...

TensorFlow 2 0 Computer Vision Cookbook

TensorFlow 2 0 Computer Vision Cookbook
  • Author : Jesus Martinez
  • Publisher : Packt Publishing Ltd
  • Release Date : 2021-02-26
  • Total pages : 542
  • ISBN : 9780128221099
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Summary : Get well versed with state-of-the-art techniques to tailor training processes and boost the performance of computer vision models using machine learning and deep learning techniques Key Features Develop, train, and use deep learning algorithms for computer vision tasks using TensorFlow 2.x Discover practical recipes to overcome various challenges faced while ...

Deep Learning for Computer Vision

Deep Learning for Computer Vision
  • Author : Jason Brownlee
  • Publisher : Machine Learning Mastery
  • Release Date : 2019-04-04
  • Total pages : 563
  • ISBN : 9780128221099
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Summary : Step-by-step tutorials on deep learning neural networks for computer vision in python with Keras....

Deep Learning for Image Processing Applications

Deep Learning for Image Processing Applications
  • Author : D.J. Hemanth,V. Vieira Estrela
  • Publisher : IOS Press
  • Release Date : 2017-12
  • Total pages : 284
  • ISBN : 9780128221099
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Summary : Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, and security and surveillance. The aim of this book, ‘Deep Learning for Image Processing Applications’, is to ...