Convolution

Convolution 電子書籍
Convolution and
Convolution Neural

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商品	説明	価格
Blind Image Deconvolution Theory and Applications【電子書籍】楽天Kobo電子書籍ストア	＜p＞Blind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications. The field of blind image deconvolution has several applications in different areas such as image restoration, microscopy, medical imaging, biological imaging, remote sensing, astronomy, nondestructive testing, geophysical prospecting, and many others. Blind Image Deconvolution: Theory and Applications surveys the current state of research and practice as presented by the most recognized experts in the field, thus filling a gap in the available literature on blind image deconvolution.＜/p＞＜p＞Explore the gamut of blind image deconvolution approaches and algorithms that currently exist and follow the current research trends into the future. This comprehensive treatise discusses Bayesian techniques, single- and multi-channel methods, adaptive and multi-frame techniques, and a host of applications to multimedia processing, astronomy, remote sensing imagery, and medical and biological imaging at the whole-body, small-part, and cellular levels. Everything you need to step into this dynamic field is at your fingertips in this unique, self-contained masterwork.＜/p＞＜p＞For image enhancement and restoration without a priori information, turn to Blind Image Deconvolution: Theory and Applications for the knowledge and techniques you need to tackle real-world problems.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	37,389円
Practical Convolutional Neural Networks Implement advanced deep learning models using Python【電子書籍】[ Mohit Sewak ] 楽天Kobo電子書籍ストア	＜p＞One stop guide to implementing award-winning, and cutting-edge CNN architectures About This Book ? Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques ? Implement CNN models on image classification, transfer learning, Object Detection, Instance Segmentation, GANs and more ? Implement powerful use-cases like image captioning, reinforcement learning for hard attention, and recurrent attention models Who This Book Is For This book is for data scientists, machine learning and deep learning practitioners, Cognitive and Artificial Intelligence enthusiasts who want to move one step further in building Convolutional Neural Networks. Get hands-on experience with extreme datasets and different CNN architectures to build efficient and smart ConvNet models. Basic knowledge of deep learning concepts and Python programming language is expected. What You Will Learn ? From CNN basic building blocks to advanced concepts understand practical areas they can be applied to ? Build an image classifier CNN model to understand how different components interact with each other, and then learn how to optimize it ? Learn different algorithms that can be applied to Object Detection, and Instance Segmentation ? Learn advanced concepts like attention mechanisms for CNN to improve prediction accuracy ? Understand transfer learning and implement award-winning CNN architectures like AlexNet, VGG, GoogLeNet, ResNet and more ? Understand the working of generative adversarial networks and how it can create new, unseen images In Detail Convolutional Neural Network (CNN) is revolutionizing several application domains such as visual recognition systems, self-driving cars, medical discoveries, innovative eCommerce and more.You will learn to create innovative solutions around image and video analytics to solve complex machine learning and computer vision related problems and implement real-life CNN models. This book starts with an overview of deep neural networkswith the example of image classification and walks you through building your first CNN for human face detector. We will learn to use concepts like transfer learning with CNN, and Auto-Encoders to build very powerful models, even when not much of supervised training data of labeled images is available. Later we build upon the learning achieved to build advanced vision related algorithms for object detection, instance segmentation, generative adversarial networks, image captioning, attention mechanisms for vision, and recurrent models for vision. By the end of this book, you should be ready to implement advanced, effective and efficient CNN models at your professional project or personal initiatives by working on complex image and video datasets. Style and approach An easy to follow concise and illustrative guide explaining the core concepts of ConvNets to help you understand, implement and deploy your CNN models quickly.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,405円
Convolutional Neural Networks in Visual Computing A Concise Guide【電子書籍】[ Ragav Venkatesan ] 楽天Kobo電子書籍ストア	＜p＞This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand and build convolutional neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out other material that co-occur in many deep learning books on CNN topics.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	12,951円
Deep Learning and Convolutional Neural Networks for Medical Image Computing Precision Medicine, High Performance and Large-Scale Datasets【電子書籍】楽天Kobo電子書籍ストア	＜p＞This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	19,447円
Guide to Convolutional Neural Networks A Practical Application to Traffic-Sign Detection and Classification【電子書籍】[ Hamed Habibi Aghdam ] 楽天Kobo電子書籍ストア	＜p＞This must-read text/reference introduces the fundamental concepts of convolutional neural networks (ConvNets), offering practical guidance on using libraries to implement ConvNets in applications of traffic sign detection and classification. The work presents techniques for optimizing the computational efficiency of ConvNets, as well as visualization techniques to better understand the underlying processes. The proposed models are also thoroughly evaluated from different perspectives, using exploratory and quantitative analysis.＜/p＞＜p＞Topics and features: explains the fundamental concepts behind training linear classifiers and feature learning; discusses the wide range of loss functions for training binary and multi-class classifiers; illustrates how to derive ConvNets from fully connected neural networks, and reviews different techniques for evaluating neural networks; presents a practical library for implementing ConvNets, explaining how to use a Python interface for the library to create and assess neural networks; describes two real-world examples of the detection and classification of traffic signs using deep learning methods; examines a range of varied techniques for visualizing neural networks, using a Python interface; provides self-study exercises at the end of each chapter, in addition to a helpful glossary, with relevant Python scripts supplied at an associated website.＜/p＞＜p＞This self-contained guide will benefit those who seek to both understand the theory behind deep learning, and to gain hands-on experience in implementing ConvNets in practice. As no prior background knowledge in the field is required to follow the material, the book is ideal for all students of computer vision and machine learning, and will also be of great interest to practitioners working on autonomous cars and advanced driver assistance systems.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	6,075円
Catastrophes, Chaos and Convolutions【電子書籍】[ James P. Hogan ] 楽天Kobo電子書籍ストア	＜p＞A guided tour though the many worlds of a ＜em＞New York Times＜/em＞ best-selling master of authentic science fact and riveting science fiction.＜/p＞＜p＞James P. Hogan stands among the foremost writers of science fiction today, and is renowned for his ability to combine accurate science from the cutting edge of present-day research with living, breathing characters in fast-paced, suspenseful stories. Catastrophes, Chaos & Convolutions gives Hogan's thousands of avid readers both a solid-chunk of high-quality science fiction and a look behind the scenes, as Hogan describes how his work came to be written, with biographical details. Add a dash of science fact articles, often on controversial topics (suppose, for example, that Velikovsky was right and the orthodox scientists wrong), and you have a volume that is an essential purchase for Hogan fans everywhere.＜/p＞＜p＞At the publisher's request, this title is sold without DRM (Digital Rights Management).＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	934円
Fundamentals of Convolutional Coding【電子書籍】[ Rolf Johannesson ] 楽天Kobo電子書籍ストア	＜p＞＜em＞Fundamentals of Convolutional Coding, Second Edition,＜/em＞ regarded as a bible of convolutional coding brings you a clear and comprehensive discussion of the basic principles of this field＜/p＞＜ul＞＜li＞Two new chapters on low-density parity-check (LDPC) convolutional codes and iterative coding＜/li＞＜li＞Viterbi, BCJR, BEAST, list, and sequential decoding of convolutional codes＜/li＞＜li＞Distance properties of convolutional codes＜/li＞＜li＞Includes a downloadable solutions manual＜/li＞＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	18,919円
Deconvolution Problems in Nonparametric Statistics【電子書籍】[ Alexander Meister ] 楽天Kobo電子書籍ストア	＜p＞Deconvolution problems occur in many ?elds of nonparametric statistics, for example, density estimation based on contaminated data, nonparametric - gression with errors-in-variables, image and signal deblurring. During the last two decades, those topics have received more and more attention. As appli- tions of deconvolution procedures concern many real-life problems in eco- metrics, biometrics, medical statistics, image reconstruction, one can realize an increasing number of applied statisticians who are interested in nonpa- metric deconvolution methods; on the other hand, some deep results from Fourier analysis, functional analysis, and probability theory are required to understand the construction of deconvolution techniques and their properties so that deconvolution is also particularly challenging for mathematicians. Thegeneraldeconvolutionprobleminstatisticscanbedescribedasfollows: Our goal is estimating a function f while any empirical access is restricted to some quantity h = f?G = f(x?y)dG(y), (1. 1) that is, the convolution of f and some probability distribution G. Therefore, f can be estimated from some observations only indirectly. The strategy is ? estimating h ?rst; this means producing an empirical version h of h and, then, ? applying a deconvolution procedure to h to estimate f. In the mathematical context, we have to invert the convolution operator with G where some reg- ? ularization is required to guarantee that h is contained in the invertibility ? domain of the convolution operator. The estimator h has to be chosen with respect to the speci?c statistical experiment.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	10,331円
Blind Image Deconvolution Methods and Convergence【電子書籍】[ Subhasis Chaudhuri ] 楽天Kobo電子書籍ストア	＜p＞Blind deconvolution is a classical image processing problem which has been investigated by a large number of researchers over the last four decades. The purpose of this monograph is not to propose yet another method for blind image restoration. Rather the basic issue of deconvolvability has been explored from a theoretical view point. Some authors claim very good results while quite a few claim that blind restoration does not work. The authors clearly detail when such methods are expected to work and when they will not.＜/p＞＜p＞In order to avoid the assumptions needed for convergence analysis in the Fourier domain, the authors use a general method of convergence analysis used for alternate minimization based on three point and four point properties of the points in the image space. The authors prove that all points in the image space satisfy the three point property and also derive the conditions under which four point property is satisfied. This provides the conditions under which alternate minimization for blind deconvolution converges with a quadratic prior.＜/p＞＜p＞Since the convergence properties depend on the chosen priors, one should design priors that avoid trivial solutions. Hence, a sparsity based solution is also provided for blind deconvolution, by using image priors having a cost that increases with the amount of blur, which is another way to prevent trivial solutions in joint estimation. This book will be a highly useful resource to the researchers and academicians in the specific area of blind deconvolution.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	6,076円
Deconvolution of Images and Spectra Second Edition【電子書籍】楽天Kobo電子書籍ストア	＜p＞Deconvolution is a technique in signal or image processing that is applied to recover information. When it is employed, it is usually because instrumental effects of spreading and blurring have obscured that information. In 1996, ＜em＞Deconvolution of Images and Spectra＜/em＞ was published (Academic Press) as a second edition of Jansson's 1984 book, ＜em＞Deconvolution with Applications in Spectroscopy＜/em＞. This landmark volume was first published to provide both an overview of the field, and practical methods and results.＜br /＞ The present Dover edition is a corrected reprinting of the second edition. It incorporates all the advantages of its predecessors by conveying a clear understanding of the field while providing a selection of effective, practical techniques. The authors assume only a working knowledge of calculus, and emphasize practical applications over topics of theoretical interest, focusing on areas that have been pivotal to the evolution of the most effective methods. This tutorial is essentially self-contained. Readers will find it practical and easy to understand.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	2,932円
The Bully Pulpit: A Journey Into the Bible Convolutions, Misuses and Impact Upon Politics and Society【電子書籍】[ Gerald Johns ] 楽天Kobo電子書籍ストア	＜p＞The Bully Pulpit is unique because it allows the Bible to speak for itself as it wends its way through the narrative from Genesis to the exiles. It just doesn’t mention a passage, but allows the story to unfold, from chapter to chapter, using the exact words of the Bible while adding commentary on what is actually occurring in the inerrant, infallible text written through the inspiration of none other than God himself. The Bible with all its flaws, contradictions and errors is touted as the book by which we should live and America should be governed. The Republican Party has unabashedly accepted the agenda of the Christian far right extremists and is employing the religious tactics of dogmatic adherence and no compromise even if those principles are destructive in nature.＜/p＞＜p＞Furthermore, The Bully Pulpit explores not only the role of religion throughout the ages, but also its impact upon social institutions, especially government right here in America. Religion makes no pretense to appeal to reason, nor is it tolerant of any viewpoint different from its own. America must become more aware of its biggest bully attempting to impose its rigid belief system on every aspect of society. The consequences can be devastating to our democracy as we know it.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	308円