Advanced Methods and Deep Learning in Computer Vision

Produk Detail:
  • Author : E. R. Davies
  • Publisher : Academic Press
  • Pages : 550 pages
  • ISBN : 9780128221099
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Advanced Methods and Deep Learning in Computer Vision

Download or Read online Advanced Methods and Deep Learning in Computer Vision full in PDF, ePub and kindle. this book written by E. R. Davies and published by Academic Press which was released on 15 October 2021 with total page 550 pages. We cannot guarantee that Advanced Methods and Deep Learning in Computer Vision book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 : 15 October 2021
GET THIS BOOK Advanced Methods and Deep Learning in Computer Vision

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

Deep Learning for Computer Vision

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

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 BOOK Mastering 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

Deep Learning for Vision Systems

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

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 : 14 August 2020
GET THIS BOOK Applied Deep Learning and Computer Vision for Self Driving Cars

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.

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 BOOK Deep 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

Advanced Deep Learning with Python

Advanced Deep Learning with Python
  • Author : Ivan Vasilev
  • Publisher : Packt Publishing Ltd
  • Release : 12 December 2019
GET THIS BOOK Advanced Deep Learning with Python

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 as TensorFlow and PyTorch Apply deep neural networks (DNNs) to computer vision problems, NLP, and GANs Book Description In order to build robust deep learning systems, you’ll need to

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 BOOK Modern 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.

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 : 08 December 2019
GET THIS BOOK Modern 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

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 : 04 October 2019
GET THIS BOOK Challenges and Applications for Implementing Machine Learning in Computer Vision

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 need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is

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 : 13 March 2020
GET THIS BOOK Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition Emerging Research and Opportunities

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 development of digital imaging, yet proper research on the applications of these advancing technologies is lacking. Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and

Advanced Deep Learning with R

Advanced Deep Learning with R
  • Author : Bharatendra Rai
  • Publisher : Packt Publishing Ltd
  • Release : 17 December 2019
GET THIS BOOK Advanced Deep Learning with R

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 NLP using a range of datasets Book Description Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data.

Deep Learning By Example

Deep Learning By Example
  • Author : Ahmed Menshawy
  • Publisher : Packt Publishing Ltd
  • Release : 28 February 2018
GET THIS BOOK Deep Learning By Example

Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner Key Features Get a first-hand experience of the deep learning concepts and techniques with this easy-to-follow guide Train different types of neural networks using Tensorflow for real-world problems in language processing, computer vision, transfer learning, and more Designed for those who believe in the concept of 'learn by doing', this book is a perfect blend of theory and code examples Book Description Deep learning is a popular

TensorFlow 2 0 Computer Vision Cookbook

TensorFlow 2 0 Computer Vision Cookbook
  • Author : Jesus Martinez
  • Publisher : Packt Publishing Ltd
  • Release : 26 February 2021
GET THIS BOOK TensorFlow 2 0 Computer Vision Cookbook

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 building computer vision models Enable machines to gain a human level understanding to recognize and analyze digital images and videos Book Description Computer vision is a scientific field that enables