Home » Challenges and Applications for Implementing Machine Learning in Computer Vision

Challenges and Applications for Implementing Machine Learning in Computer Vision Book [PDF] Download

Download the fantastic book titled Challenges and Applications for Implementing Machine Learning in Computer Vision written by Kashyap, Ramgopal, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Challenges and Applications for Implementing Machine Learning in Computer Vision", which was released on 04 October 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Challenges and Applications for Implementing Machine Learning in Computer Vision by Kashyap, Ramgopal PDF

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 a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.

Challenges and Applications for Implementing Machine Learning in Computer Vision

Detail About Challenges and Applications for Implementing Machine Learning in Computer Vision PDF

  • Author : Kashyap, Ramgopal
  • Publisher : IGI Global
  • Genre : Computers
  • Total Pages : 293 pages
  • ISBN : 1799801845
  • PDF File Size : 30,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

Clicking on the GET BOOK button will initiate the downloading process of Challenges and Applications for Implementing Machine Learning in Computer Vision by Kashyap, Ramgopal. This book is available in ePub and PDF format with a single click unlimited downloads.

GET BOOK

Deep Learning for Computer Vision

Deep Learning for Computer Vision
  • Publisher : Packt Publishing Ltd
  • File Size : 50,8 Mb
  • Release Date : 23 January 2018
GET BOOK

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

Deep Learning in Computer Vision

Deep Learning in Computer Vision
  • Publisher : CRC Press
  • File Size : 43,5 Mb
  • Release Date : 23 March 2020
GET BOOK

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.

Machine Learning in Computer Vision

Machine Learning in Computer Vision
  • Publisher : Springer Science & Business Media
  • File Size : 30,8 Mb
  • Release Date : 30 March 2006
GET BOOK

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

Inpainting and Denoising Challenges

Inpainting and Denoising Challenges
  • Publisher : Springer Nature
  • File Size : 22,5 Mb
  • Release Date : 16 October 2019
GET BOOK

The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or

TensorFlow 2.0 Computer Vision Cookbook

TensorFlow 2.0 Computer Vision Cookbook
  • Publisher : Packt Publishing Ltd
  • File Size : 34,7 Mb
  • Release Date : 26 February 2021
GET BOOK

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 FeaturesDevelop, train, and use

The The Computer Vision Workshop

The The Computer Vision Workshop
  • Publisher : Packt Publishing Ltd
  • File Size : 50,8 Mb
  • Release Date : 27 July 2020
GET BOOK

Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior Key FeaturesUnderstand OpenCV and select the right

Computer Vision

Computer Vision
  • Publisher : Springer Nature
  • File Size : 42,6 Mb
  • Release Date : 03 January 2022
GET BOOK

Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in

Elements of Deep Learning for Computer Vision

Elements of Deep Learning for Computer Vision
  • Publisher : BPB Publications
  • File Size : 36,6 Mb
  • Release Date : 24 June 2021
GET BOOK

Conceptualizing deep learning in computer vision applications using PyTorch and Python libraries. KEY FEATURES ● Covers a variety of computer vision projects, including face recognition and object recognition such as Yolo,