Deep Learning for Computer Vision

Written By Rajalingappaa Shanmugamani
Deep Learning for Computer Vision
  • Publsiher : Packt Publishing Ltd
  • Release : 23 January 2018
  • ISBN : 1788293355
  • Pages : 310 pages
  • Rating : 4/5 from 1 reviews
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Download or read book entitled Deep Learning for Computer Vision by author: Rajalingappaa Shanmugamani which was release on 23 January 2018 and published by Packt Publishing Ltd with total page 310 pages . This book available in PDF, EPUB and Kindle Format. 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 power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous applications in the areas of robotics, automation, and so on. This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning. In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation. What you will learn Set up an environment for deep learning with Python, TensorFlow, and Keras Define and train a model for image and video classification Use features from a pre-trained Convolutional Neural Network model for image retrieval Understand and implement object detection using the real-world Pedestrian Detection scenario Learn about various problems in image captioning and how to overcome them by training images and text together Implement similarity matching and train a model for face recognition Understand the concept of generative models and use them for image generation Deploy your deep learning models and optimize them for high performance Who this book is for This book is targeted at data scientists and Computer Vision practitioners who wish to apply the concepts of Deep Learning to overcome any problem related to Computer Vision. A basic knowledge of programming in Python—and some understanding of machine learning concepts—is required to get the best out of this book.

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 : 1788293355
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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 ...

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 : 1788293355
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Summary : 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 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 : 1788293355
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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 ...

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 : 1788293355
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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 ...

Machine Learning for OpenCV Advanced Methods and Deep Learning

Machine Learning for OpenCV   Advanced Methods and Deep Learning
  • Author : Michael Beyeler
  • Publisher : Unknown
  • Release Date : 2018
  • Total pages : 212
  • ISBN : 1788293355
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Summary : 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 ...

Advanced Deep Learning with Keras

Advanced Deep Learning with Keras
  • Author : Rowel Atienza
  • Publisher : Packt Publishing Ltd
  • Release Date : 2018-10-31
  • Total pages : 368
  • ISBN : 1788293355
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Summary : A comprehensive guide to advanced deep learning techniques, including Autoencoders, GANs, VAEs, and Deep Reinforcement Learning, that drive today's most impressive AI results Key Features Explore the most advanced deep learning techniques that drive modern AI results Implement Deep Neural Networks, Autoencoders, GANs, VAEs, and Deep Reinforcement Learning A wide ...

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 : 1788293355
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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 ...

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 : 1788293355
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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 ...

Learn Computer Vision Using OpenCV

Learn Computer Vision Using OpenCV
  • Author : Sunila Gollapudi
  • Publisher : Apress
  • Release Date : 2019-04-26
  • Total pages : 151
  • ISBN : 1788293355
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Summary : Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examples. The author starts with an introduction to computer vision followed by setting up OpenCV from ...

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 : 1788293355
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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 ...

Advanced Image and Video Processing Using MATLAB

Advanced Image and Video Processing Using MATLAB
  • Author : Shengrong Gong,Chunping Liu,Yi Ji,Baojiang Zhong,Yonggang Li,Husheng Dong
  • Publisher : Springer
  • Release Date : 2018-08-21
  • Total pages : 590
  • ISBN : 1788293355
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Summary : This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip reading in videos, moving object tracking, dynamic scene classification, among others. The book ...

The The Computer Vision Workshop

The The Computer Vision Workshop
  • Author : Hafsa Asad,Vishwesh Ravi Shrimali,Nikhil Singh
  • Publisher : Packt Publishing Ltd
  • Release Date : 2020-07-27
  • Total pages : 568
  • ISBN : 1788293355
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Summary : With The Computer Vision Workshop, you’ll explore the basic and advanced techniques in video and image processing using OpenCV and Python. It is filled with real-world exercises and activities that will make the learning process easy and enjoyable....

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 : 1788293355
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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 ...

Hands On Computer Vision with TensorFlow 2

Hands On Computer Vision with TensorFlow 2
  • Author : Benjamin Planche,Eliot Andres
  • Publisher : Packt Publishing Ltd
  • Release Date : 2019-05-30
  • Total pages : 372
  • ISBN : 1788293355
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Summary : A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and more. Key Features Discover how to build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and ...

Hands On Image Processing with Python

Hands On Image Processing with Python
  • Author : Sandipan Dey
  • Publisher : Packt Publishing Ltd
  • Release Date : 2018-11-30
  • Total pages : 492
  • ISBN : 1788293355
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Summary : Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks. Key Features Practical coverage of every image processing task with popular Python libraries Includes topics such as pseudo-coloring, noise smoothing, computing image descriptors Covers popular machine learning and deep learning techniques for complex image processing ...