Adversarial

Adversarial 電子書籍
Adversarial and
Adversarial Networks

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商品	説明	価格
Generative Adversarial Networks for Image-to-Image Translation【電子書籍】楽天Kobo電子書籍ストア	＜p＞Generative Adversarial Networks (GAN) have started a revolution in Deep Learning, and today GAN is one of the most researched topics in Artificial Intelligence. ＜em＞Generative Adversarial Networks for Image-to-Image Translation＜/em＞ provides a comprehensive overview of the GAN (Generative Adversarial Network) concept starting from the original GAN network to various GAN-based systems such as Deep Convolutional GANs (DCGANs), Conditional GANs (cGANs), StackGAN, Wasserstein GANs (WGAN), cyclical GANs, and many more. The book also provides readers with detailed real-world applications and common projects built using the GAN system with respective Python code. A typical GAN system consists of two neural networks, i.e., generator and discriminator. Both of these networks contest with each other, similar to game theory. The generator is responsible for generating quality images that should resemble ground truth, and the discriminator is accountable for identifying whether the generated image is a real image or a fake image generated by the generator. Being one of the unsupervised learning-based architectures, GAN is a preferred method in cases where labeled data is not available. GAN can generate high-quality images, images of human faces developed from several sketches, convert images from one domain to another, enhance images, combine an image with the style of another image, change the appearance of a human face image to show the effects in the progression of aging, generate images from text, and many more applications. GAN is helpful in generating output very close to the output generated by humans in a fraction of second, and it can efficiently produce high-quality music, speech, and images.＜/p＞＜ul＞＜li＞Introduces the concept of Generative Adversarial Networks (GAN), including the basics of Generative Modelling, Deep Learning, Autoencoders, and advanced topics in GAN＜/li＞＜li＞Demonstrates GANs for a wide variety of applications, including image generation, Big Data and data analytics, cloud computing, digital transformation, E-Commerce, and Artistic Neural Networks＜/li＞＜li＞Includes a wide variety of biomedical and scientific applications, including unsupervised learning, natural language processing, pattern recognition, image and video processing, and disease diagnosis＜/li＞＜li＞Provides a robust set of methods that will help readers to appropriately and judiciously use the suitable GANs for their applications＜/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。	16,807円
Hands-On Generative Adversarial Networks with PyTorch 1.x Implement next-generation neural networks to build powerful GAN models using Python【電子書籍】[ John Hany ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Apply deep learning techniques and neural network methodologies to build, train, and optimize generative network models＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Implement GAN architectures to generate images, text, audio, 3D models, and more＜/li＞＜li＞Understand how GANs work and become an active contributor in the open source community＜/li＞＜li＞Learn how to generate photo-realistic images based on text descriptions＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞With continuously evolving research and development, Generative Adversarial Networks (GANs) are the next big thing in the field of deep learning. This book highlights the key improvements in GANs over generative models and guides in making the best out of GANs with the help of hands-on examples.＜/p＞＜p＞This book starts by taking you through the core concepts necessary to understand how each component of a GAN model works. You'll build your first GAN model to understand how generator and discriminator networks function. As you advance, you'll delve into a range of examples and datasets to build a variety of GAN networks using PyTorch functionalities and services, and become well-versed with architectures, training strategies, and evaluation methods for image generation, translation, and restoration. You'll even learn how to apply GAN models to solve problems in areas such as computer vision, multimedia, 3D models, and natural language processing (NLP). The book covers how to overcome the challenges faced while building generative models from scratch. Finally, you'll also discover how to train your GAN models to generate adversarial examples to attack other CNN and GAN models.＜/p＞＜p＞By the end of this book, you will have learned how to build, train, and optimize next-generation GAN models and use them to solve a variety of real-world problems.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Implement PyTorch's latest features to ensure efficient model designing＜/li＞＜li＞Get to grips with the working mechanisms of GAN models＜/li＞＜li＞Perform style transfer between unpaired image collections with CycleGAN＜/li＞＜li＞Build and train 3D-GANs to generate a point cloud of 3D objects＜/li＞＜li＞Create a range of GAN models to perform various image synthesis operations＜/li＞＜li＞Use SEGAN to suppress noise and improve the quality of speech audio＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This GAN book is for machine learning practitioners and deep learning researchers looking to get hands-on guidance in implementing GAN models using PyTorch. You'll become familiar with state-of-the-art GAN architectures with the help of real-world examples. Working knowledge of Python programming language is necessary to grasp the concepts covered in this book.＜/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。	3,290円
Generative Adversarial Networks with Industrial Use Cases: Learning How to Build GAN Applications for Retail, Healthcare, Telecom, Media, Education, and HRTech【電子書籍】[ Navin K. Manaswi (Google Developer Expert) ] 楽天Kobo電子書籍ストア	＜p＞Best Book on GAN＜/p＞＜p＞This book aims at simplifying GAN for everyone. This book is very important for machine learning engineers, researchers, students, professors, and professionals. Universities and online course instructors will find this book very interesting for teaching advanced deep learning, specially Generative Adversarial Networks(GAN). Industry professionals, coders, and data scientists can learn GAN from scratch. They can learn how to build GAN codes for industrial applications for Healthcare, Retail, HRTech, EduTech, Telecom, Media, and Entertainment. Mathematics of GAN is discussed and illustrated. KL divergence and other parts of GAN are illustrated and discussed mathematically. This book teaches how to build codes for pix2pix GAN, DCGAN, CGAN, styleGAN, cycleGAN, and many other GAN. Machine Learning and Deep Learning Researchers will learn GAN in the shortest possible time with the help of this book.＜/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。	1,100円
Generative Adversarial Networks for Image Generation【電子書籍】[ Xudong Mao ] 楽天Kobo電子書籍ストア	＜p＞Generative adversarial networks (GANs) were introduced by Ian Goodfellow and his co-authors including Yoshua Bengio in 2014, and were to referred by Yann Lecun (Facebook’s AI research director) as “the most interesting idea in the last 10 years in ML.” GANs’ potential is huge, because they can learn to mimic any distribution of data, which means they can be taught to create worlds similar to our own in any domain: images, music, speech, prose. They are robot artists in a sense, and their output is remarkable ? poignant even. In 2018, Christie’s sold a portrait that had been generated by a GAN for $432,000.＜/p＞＜p＞Although image generation has been challenging, GAN image generation has proved to be very successful and impressive. However, there are two remaining challenges for GAN image generation: the quality of the generated image and the training stability. This book first provides an overview of GANs, and then discusses the task of image generation and the detailsof GAN image generation. It also investigates a number of approaches to address the two remaining challenges for GAN image generation. Additionally, it explores three promising applications of GANs, including image-to-image translation, unsupervised domain adaptation and GANs for security. This book appeals to students and researchers who are interested in GANs, image generation and general machine learning and computer vision.＜/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。	18,231円
Varieties of Legal Order The Politics of Adversarial and Bureaucratic Legalism【電子書籍】楽天Kobo電子書籍ストア	＜p＞Across the globe, law in all its variety is becoming more central to politics, public policy, and everyday life. For over four decades, Robert A. Kagan has been a leading scholar of the causes and consequences of the march of law that is characteristic of late 20th and early 21st century governance. In this volume, top sociolegal scholars use Kagan’s concepts and methods to examine the politics of litigation and regulation, both in the United States and around the world.＜/p＞＜p＞Through studies of civil rights law, tobacco politics, “Eurolegalism,” Russian auto accidents, Australian coal mines, and California prisons, these scholars probe the politics of different forms of law, and the complex path by which “law on the books” shapes social life. Like Kagan’s scholarship, ＜em＞Varieties of Legal Order＜/em＞ moves beyond stale debates about litigiousness and overregulation, and invites us to think more imaginatively about how the rise of law and legalism will shape politics and social life in the 21st century.＜/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。	6,848円
洋書 Paperback, Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery Glomarket	* We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 * 特に注意してください。 * ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 * ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。	9,164円
Justicia anamn?tica: De la ley del tali?n al perd?n y la democracia adversarial【電子書籍】楽天Kobo電子書籍ストア	＜p＞Este libro, resultado de una investigaci?n con estudiantes de Derecho y Ciencia Pol?tica de la Universidad Nacional de Colombia, sensibiliza sobre escenarios posibles en el Sistema Integral para la Paz (antes SIVJRNR) que dan cuenta de testimonios de violencias sufridas, hoy con vocaci?n de perd?n y con base en experiencias en territorio de constructores de paz desde la institucionalidad (CEV y CNMH) y visibiliza oportunidades de ajuste sist?mico e interinstitucional en clave de reconciliaci?n social en los territorios.＜/p＞＜p＞Se presenta, entonces, como una propuesta que apunta hacia una justicia anamn?tica, desde la anamnesis o memorias individuales y colectivas de las v?ctimas, con el fin de lograr la tan a?orada paz del Acuerdo de la Habana. Entonces, m?s all? de la justicia transicional con enfoque restaurativo-retributivo que no logra superar la concepci?n preconvencional basada en la ley del Tali?n ーojo por ojo, diente por dienteー, se piensa en una democracia adversarial que acompa?e la construcci?n de verdades individuales y colectivas, con una franca superaci?n de la distinci?n amigo-enemigo como concepto de lo pol?tico que ha signado la historia de Colombia desde sus inicios republicanos, que nos conduzca a la reconciliaci?n desde el perd?n que nace de la v?ctima y que permite reconocer al perpetrador como otro, no m?s como un antagonista.＜/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。	250円
Generative Adversarial Networks Cookbook Over 100 recipes to build generative models using Python, TensorFlow, and Keras【電子書籍】[ Josh Kalin ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Simplify next-generation deep learning by implementing powerful generative models using Python, TensorFlow and Keras＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Understand the common architecture of different types of GANs＜/li＞＜li＞Train, optimize, and deploy GAN applications using TensorFlow and Keras＜/li＞＜li＞Build generative models with real-world data sets, including 2D and 3D data＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Developing Generative Adversarial Networks (GANs) is a complex task, and it is often hard to find code that is easy to understand.＜/p＞＜p＞This book leads you through eight different examples of modern GAN implementations, including CycleGAN, simGAN, DCGAN, and 2D image to 3D model generation. Each chapter contains useful recipes to build on a common architecture in Python, TensorFlow and Keras to explore increasingly difficult GAN architectures in an easy-to-read format. The book starts by covering the different types of GAN architecture to help you understand how the model works. This book also contains intuitive recipes to help you work with use cases involving DCGAN, Pix2Pix, and so on. To understand these complex applications, you will take different real-world data sets and put them to use.＜/p＞＜p＞By the end of this book, you will be equipped to deal with the challenges and issues that you may face while working with GAN models, thanks to easy-to-follow code solutions that you can implement right away.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Structure a GAN architecture in pseudocode＜/li＞＜li＞Understand the common architecture for each of the GAN models you will build＜/li＞＜li＞Implement different GAN architectures in TensorFlow and Keras＜/li＞＜li＞Use different datasets to enable neural network functionality in GAN models＜/li＞＜li＞Combine different GAN models and learn how to fine-tune them＜/li＞＜li＞Produce a model that can take 2D images and produce 3D models＜/li＞＜li＞Develop a GAN to do style transfer with Pix2Pix＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for data scientists, machine learning developers, and deep learning practitioners looking for a quick reference to tackle challenges and tasks in the GAN domain. Familiarity with machine learning concepts and working knowledge of Python programming language will help you get the most out of the book.＜/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。	4,085円
【輸入盤CD】Adversarial / Solitude With The Eternal【K2024/5/31発売】あめりかん・ぱい	2024/5/31 発売輸入盤レーベル： DARK DESCENT収録曲：	3,090円
Adversarial and Uncertain Reasoning for Adaptive Cyber Defense Control- and Game-Theoretic Approaches to Cyber Security【電子書籍】楽天Kobo電子書籍ストア	＜p＞Today’s cyber defenses are largely static allowing adversaries to pre-plan their attacks. In response to this situation, researchers have started to investigate various methods that make networked information systems less homogeneous and less predictable by engineering systems that have homogeneous functionalities but randomized manifestations.＜/p＞＜p＞The 10 papers included in this State-of-the Art Survey present recent advances made by a large team of researchers working on the same US Department of Defense Multidisciplinary University Research Initiative (MURI) project during 2013-2019. This project has developed a new class of technologies called Adaptive Cyber Defense (ACD) by building on two active but heretofore separate research areas: Adaptation Techniques (AT) and Adversarial Reasoning (AR). AT methods introduce diversity and uncertainty into networks, applications, and hosts. AR combines machine learning, behavioral science, operations research, control theory, and gametheory to address the goal of computing effective strategies in dynamic, adversarial environments.＜/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。	7,049円
A Tutela do Vulner?vel no Processo Adversarial T?cnicas do C?digo de Processo Civil e a Adequada Promo??o de Acesso ? Justi?a【電子書籍】[ Patrick Souto ] 楽天Kobo電子書籍ストア	＜p＞A inser??o e a perman?ncia calibradas do vulner?vel na rela??o processual ? premissa de legitima??o do pr?prio processo. Negar, ou em qualquer grau restringir sua participa??o dada a sua condi??o, converte a rela??o processual em palco oficial de arbitrariedades, capaz de colocar em cena uma face violenta e covarde do Estado. O processo civil precisa contar com instrumental eficiente para supera??o da vulnerabilidade. Se a rela??o processual, elaborada a partir do ideal de monop?lio da jurisdi??o, n?o serve a frear o ?mpeto do mais forte, de nada serve. Seria o caso, nessa condi??o, de regressarmos ao modelo processual experimentado no paradigma de Estado Liberal. ? com tais premissas, elaboradas no exerc?cio de mais de 10 anos de atividade defensorial, que se parte a inventariar as t?cnicas previstas no C?digo de Processo Civil exclusivamente destinadas ? tutela do vulner?vel, ou de qualquer forma a ele tamb?m endere?adas. Somente com a efici?ncia emoldurada no quadrante de Estado Democr?tico Constitucional o processo civil assumir? a condi??o de vetor de dignidade humana e cidadania para os vulner?veis processuais, pressuposto para a adequada promo??o de acesso ? justi?a. Este ? o objeto central da investiga??o tra?ada nessas linhas.＜/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。	1,700円
【中古】【未使用・未開封品】Adversarial Machine Learning AJIMURA-SHOP	【中古】【未使用・未開封品】Adversarial Machine Learning【メーカー名】【メーカー型番】【ブランド名】Cambridge University Press Machine Learning, Theory of Computing, Amazon Student ポイント還元(洋書), Amazonアプリキャンペーン対象商品(洋書), 洋書（アダルト除く） Joseph, Anthony D.: Author; Nelson, Blaine: Author; Rubinstein, Benjamin I. P.: Author; Tygar, J. D.: Author【商品説明】Adversarial Machine Learning【注意】こちらは輸入品となります。当店では初期不良に限り、商品到着から7日間は返品を受付けております。こちらは当店海外ショップで一般の方から買取した未使用・未開封品です。買取した為、中古扱いとしております。他モールとの併売品の為、完売の際はご連絡致しますのでご了承ください。ご注文からお届けまで1、ご注文⇒ご注文は24時間受け付けております。2、注文確認⇒ご注文後、当店から注文確認メールを送信します。3、当店海外倉庫から当店日本倉庫を経由しお届けしますので10〜30営業日程度でのお届けとなります。4、入金確認⇒前払い決済をご選択の場合、ご入金確認後、配送手配を致します。5、出荷⇒配送準備が整い次第、出荷致します。配送業者、追跡番号等の詳細をメール送信致します。6、到着⇒出荷後、1〜3日後に商品が到着します。　※離島、北海道、九州、沖縄は遅れる場合がございます。予めご了承下さい。お電話でのお問合せは少人数で運営の為受け付けておりませんので、メールにてお問合せお願い致します。営業時間　月〜金　10:00〜17:00お客様都合によるご注文後のキャンセル・返品はお受けしておりませんのでご了承下さい。	27,340円
洋書 Paperback, GANs in Action: Deep learning with Generative Adversarial Networks Glomarket	* We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 * 特に注意してください。 * ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 * ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。PC販売説明文	10,824円
Generative Adversarial Networks in Practice【電子書籍】[ Mehdi Ghayoumi ] 楽天Kobo電子書籍ストア	＜p＞This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts.＜/p＞＜p＞＜strong＞Key Features:＜/strong＞＜/p＞＜ul＞＜li＞＜strong＞G＜/strong＞uides you through the complex world of GANs, demystifying their intricacies＜/li＞＜li＞＜strong＞A＜/strong＞ccompanies your learning journey with real-world examples and practical applications＜/li＞＜li＞＜strong＞N＜/strong＞avigates the theory behind GANs, presenting it in an accessible and comprehensive way＜/li＞＜li＞＜strong＞S＜/strong＞implifies the implementation of GANs using popular deep learning platforms＜/li＞＜li＞＜strong＞I＜/strong＞ntroduces various GAN architectures, giving readers a broad view of their applications＜/li＞＜li＞＜strong＞N＜/strong＞urture your knowledge of AI with our comprehensive yet accessible content＜/li＞＜li＞＜strong＞P＜/strong＞ractice your skills with numerous case studies and coding examples＜/li＞＜li＞＜strong＞R＜/strong＞eviews advanced GANs, such as DCGAN, cGAN, and CycleGAN, with clear explanations and practical examples＜/li＞＜li＞＜strong＞A＜/strong＞dapts to both beginners and experienced practitioners, with content organized to cater to varying levels of familiarity with GANs＜/li＞＜li＞＜strong＞C＜/strong＞onnects the dots between GAN theory and practice, providing a well-rounded understanding of the subject＜/li＞＜li＞＜strong＞T＜/strong＞akes you through GAN applications across different data types, highlighting their versatility＜/li＞＜li＞＜strong＞I＜/strong＞nspires the reader to explore beyond this book, fostering an environment conducive to independent learning and research＜/li＞＜li＞＜strong＞C＜/strong＞loses the gap between complex GAN methodologies and their practical implementation, allowing readers to directly apply their knowledge＜/li＞＜li＞＜strong＞E＜/strong＞mpowers you with the skills and knowledge needed to confidently use GANs in your projects＜/li＞＜/ul＞＜p＞Prepare to deep dive into the captivating realm of GANs and experience the power of AI like never before with Generative Adversarial Networks (GANs) in Practice. This book brings together the theory and practical aspects of GANs in a cohesive and accessible manner, making it an essential resource for both beginners and experienced practitioners.＜/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。	13,170円
Closing the Justice Gap for Adult and Child Sexual Assault Rethinking the Adversarial Trial【電子書籍】[ Anne Cossins ] 楽天Kobo電子書籍ストア	＜p＞This book examines the justice gap and trial process for sexual assault against both adults and children in two jurisdictions: England and Wales and New South Wales, Australia. Drawing on decades of research, it investigates the reality of the policing and prosecution of sexual assault offences ? often seen as one of the ‘hardest crimes to prosecute’ ? across two similar jurisdictions. Despite the introduction of the many reform options detailed in the book, satisfactory outcomes for victims and the public are still difficult to obtain.＜/p＞＜p＞Cossins takes a new approach by examining the nature and effects of adversarialism on vulnerable witnesses, jury decision-making and the structures of power within the trial process, to show how, and at what points, that process is weighted against complainants of sexual assault, in order to make evidence-based suggestions for reform. She argues that this justice gap is a result of a moralisticadversarial culture which fosters myths and misconceptions about rape and child sexual assault, thus requiring the prosecution to prove a complainant’s moral worthiness. She argues this culture can only be eliminated by a radical replacement of the adversarial system with a trauma-informed system. By reviewing the relevant psychological literature, this book documents the triggers for re-traumatisation within an adversarial trial, and discusses the reform measures that would be necessary to transform the sexual assault trial from one where the complainant’s moral worthiness is ‘on trial’ to a fully functioning trauma-informed system. It speaks to students and academics across subjects including law, criminology, gender studies and psychology, and practitioners in law and victim services, as well as policy-makers.＜/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
洋書 Paperback, Generative Adversarial Networks Cookbook: Over 100 recipes to build generative models using Python, TensorFlow, and Keras Glomarket	* We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 * 特に注意してください。 * ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 * ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。	10,750円
Adversarial Machine Learning Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence【電子書籍】[ Aneesh Sreevallabh Chivukula ] 楽天Kobo電子書籍ストア	＜p＞A critical challenge in deep learning is the vulnerability of deep learning networks to security attacks from intelligent cyber adversaries. Even innocuous perturbations to the training data can be used to manipulate the behaviour of deep networks in unintended ways. In this book, we review the latest developments in adversarial attack technologies in computer vision; natural language processing; and cybersecurity with regard to multidimensional, textual and image data, sequence data, and temporal data. In turn, we assess the robustness properties of deep learning networks to produce a taxonomy of adversarial examples that characterises the security of learning systems using game theoretical adversarial deep learning algorithms. The state-of-the-art in adversarial perturbation-based privacy protection mechanisms is also reviewed.＜/p＞＜p＞We propose new adversary types for game theoretical objectives in non-stationary computational learning environments. Proper quantificationof the hypothesis set in the decision problems of our research leads to various functional problems, oracular problems, sampling tasks, and optimization problems. We also address the defence mechanisms currently available for deep learning models deployed in real-world environments. The learning theories used in these defence mechanisms concern data representations, feature manipulations, misclassifications costs, sensitivity landscapes, distributional robustness, and complexity classes of the adversarial deep learning algorithms and their applications.＜/p＞＜p＞In closing, we propose future research directions in adversarial deep learning applications for resilient learning system design and review formalized learning assumptions concerning the attack surfaces and robustness characteristics of artificial intelligence applications so as to deconstruct the contemporary adversarial deep learning designs. Given its scope, the book will be of interest to Adversarial Machine Learning practitioners and Adversarial Artificial Intelligence researchers whose work involves the design and application of Adversarial Deep Learning.＜/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。	20,662円
Adversarial Political Interviewing Worldwide Perspectives During Polarized Times【電子書籍】楽天Kobo電子書籍ストア	＜p＞This book presents a collection of studies on political interviews in a variety of broadcast media worldwide. Following the growing scholarly interest in media talk as a dominant form of political communication in contemporary society, a number of eminent international scholars analyze empirical material from the discourse of public figures and interviewer?journalists to address questions related to the characteristics, conduct, and potential effects of political interviews. Chapters span a varied array of cultural contexts: the U.S.A., U.K., Israel, Japan, Italy, Turkey, Greece, Australia, Philippines, Finland, Brazil, Malaysia, Spain, Venezuela, Montenegro, and the European Community, enabling a comparison of the different structures and contents of political interviews in societies from West to East. Authors bring an interest in discourse and conversation analysis, as well as in rhetorical techniques and strategies used by both interviewers and interviewees, from different disciplinary viewpoints including linguistic, political, cultural, sociological, and social?psychological. In doing so, the book develops a framework to assess the extent to which media political interviews and talk shows, and regular news programs, play a central role in transmitting accurate and genuine political information to the general public, and how audiences can make sense of these programs’ output.＜/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。	18,231円
A Primer on Generative Adversarial Networks【電子書籍】[ Sanaa Kaddoura ] 楽天Kobo電子書籍ストア	＜p＞This book is meant for readers who want to understand GANs without the need for a strong mathematical background. Moreover, it covers the practical applications of GANs, making it an excellent resource for beginners. ＜em＞A Primer on Generative Adversarial Networks＜/em＞ is suitable for researchers, developers, students, and anyone who wishes to learn about GANs. It is assumed that the reader has a basic understanding of machine learning and neural networks. The book comes with ready-to-run scripts that readers can use for further research. Python is used as the primary programming language, so readers should be familiar with its basics.＜/p＞＜p＞The book starts by providing an overview of GAN architecture, explaining the concept of generative models. It then introduces the most straightforward GAN architecture, which explains how GANs work and covers the concepts of generator and discriminator. The book then goes into the more advanced real-world applications of GANs, such as human face generation, deep fake, CycleGANs, and more.＜/p＞＜p＞By the end of the book, readers will have an essential understanding of GANs and be able to write their own GAN code. They can apply this knowledge to their projects, regardless of whether they are beginners or experienced machine learning practitioners.＜/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。	5,469円
洋書 Paperback, Adversarial and Uncertain Reasoning for Adaptive Cyber Defense: Control- and Game-Theoretic Approaches to Cyber Security (Lecture Notes in Computer Science (11830)) Glomarket	* We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 * 特に注意してください。 * ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 * ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。PC販売説明文	11,710円
Moving Target Defense II Application of Game Theory and Adversarial Modeling【電子書籍】楽天Kobo電子書籍ストア	＜p＞Our cyber defenses are static and are governed by lengthy processes, e.g., for testing and security patch deployment. Adversaries could plan their attacks carefully over time and launch attacks at cyber speeds at any given moment. We need a new class of defensive strategies that would force adversaries to continually engage in reconnaissance and re-planning of their cyber operations. One such strategy is to present adversaries with a moving target where the attack surface of a system keeps changing.＜/p＞＜p＞＜em＞Moving Target Defense II: Application of Game Theory and Adversarial Modeling＜/em＞ includes contributions from world experts in the cyber security field. In the first volume of MTD, we presented MTD approaches based on software transformations, and MTD approaches based on network and software stack configurations. In this second volume of MTD, a group of leading researchers describe game theoretic, cyber maneuver, and software transformation approaches for constructing and analyzing MTD systems.＜/p＞＜p＞Designed as a professional book for practitioners and researchers working in the cyber security field, advanced -level students and researchers focused on computer science will also find this book valuable as a secondary text book or reference.＜/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。	12,154円
Machine Learning Algorithms Adversarial Robustness in Signal Processing【電子書籍】[ Fuwei Li ] 楽天Kobo電子書籍ストア	＜p＞This book demonstrates the optimal adversarial attacks against several important signal processing algorithms. Through presenting the optimal attacks in wireless sensor networks, array signal processing, principal component analysis, etc, the authors reveal the robustness of the signal processing algorithms against adversarial attacks. Since data quality is crucial in signal processing, the adversary that can poison the data will be a significant threat to signal processing. Therefore, it is necessary and urgent to investigate the behavior of machine learning algorithms in signal processing under adversarial attacks.＜/p＞＜p＞The authors in this book mainly examine the adversarial robustness of three commonly used machine learning algorithms in signal processing respectively: linear regression, LASSO-based feature selection, and principal component analysis (PCA). As to linear regression, the authors derive the optimal poisoning data sample and the optimal feature modifications, and also demonstrate the effectiveness of the attack against a wireless distributed learning system. The authors further extend the linear regression to LASSO-based feature selection and study the best strategy to mislead the learning system to select the wrong features. The authors find the optimal attack strategy by solving a bi-level optimization problem and also illustrate how this attack influences array signal processing and weather data analysis. In the end, the authors consider the adversarial robustness of the subspace learning problem. The authors examine the optimal modification strategy under the energy constraints to delude the PCA-based subspace learning algorithm.＜/p＞＜p＞This book targets researchers working in machine learning, electronic information, and information theory as well as advanced-level students studying these subjects. R&D engineers who are working in machine learning, adversarial machine learning, robust machine learning, and technical consultants working on the security and robustness of machine learning are likely to purchase this book as a reference guide.＜/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。	17,016円
Hearing the Victim Adversarial Justice, Crime Victims and the State【電子書籍】楽天Kobo電子書籍ストア	＜p＞In recent years far more attention has been paid to victims of crime both in terms of awareness of the effect of crime upon their lives, and in changes that have been made to the criminal justice system to improve their rights and treatment. This process seems set to continue, with legislative plans announced to rebalance the criminal justice system in favour of the victim. This latest book in the Cambridge Criminal Justice Series brings together leading authorities in the field to review the role of the victim in the criminal justice system in the context of these developments.＜/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。	9,346円
洋書 Paperback, Hands-On Generative Adversarial Networks with PyTorch 1.x: Implement next-generation neural networks to build powerful GAN models using Python Glomarket	* We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 * 特に注意してください。 * ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 * ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。PC販売説明文	9,925円
【中古】【未使用・未開封品】Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras AJIMURA-SHOP	【中古】【未使用・未開封品】Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras【メーカー名】【メーカー型番】【ブランド名】Packt Publishing Human Vision & Language Systems, Machine Learning, Machine Vision, Neural Networks, Theory of Computing, Paperback Store, Amazon Student ポイント還元(洋書), Amazonアプリキャンペーン対象商品(洋書), 洋書（アダルト除く） Ahirwar, Kailash: Author【商品説明】Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras【注意】こちらは輸入品となります。当店では初期不良に限り、商品到着から7日間は返品を受付けております。こちらは当店海外ショップで一般の方から買取した未使用・未開封品です。買取した為、中古扱いとしております。他モールとの併売品の為、完売の際はご連絡致しますのでご了承ください。ご注文からお届けまで1、ご注文⇒ご注文は24時間受け付けております。2、注文確認⇒ご注文後、当店から注文確認メールを送信します。3、当店海外倉庫から当店日本倉庫を経由しお届けしますので10〜30営業日程度でのお届けとなります。4、入金確認⇒前払い決済をご選択の場合、ご入金確認後、配送手配を致します。5、出荷⇒配送準備が整い次第、出荷致します。配送業者、追跡番号等の詳細をメール送信致します。6、到着⇒出荷後、1〜3日後に商品が到着します。　※離島、北海道、九州、沖縄は遅れる場合がございます。予めご了承下さい。お電話でのお問合せは少人数で運営の為受け付けておりませんので、メールにてお問合せお願い致します。営業時間　月〜金　10:00〜17:00お客様都合によるご注文後のキャンセル・返品はお受けしておりませんのでご了承下さい。	21,514円
【輸入盤CD】Adversarial / Death Endless Nothing & Black Knife Of Nihilism あめりかん・ぱい	2015/8/21 発売輸入盤レーベル：DARK DESCENT収録曲：	2,690円
Generative Adversarial Networks with Industrial Use Cases Learning How to Build GAN Applications for Retail, Healthcare, Telecom, Media, Education, and HRTech【電子書籍】[ Navin K Manaswi ] 楽天Kobo電子書籍ストア	＜p＞This book aims at simplifying GAN for everyone. This book is very important for machine learning engineers, researchers, students, professors, and professionals. Universities and online course instructors will find this book very interesting for teaching advanced deep learning, specially Generative Adversarial Networks(GAN). Industry professionals, coders, and data scientists can learn GAN from scratch. They can learn how to build GAN codes for industrial applications for Healthcare, Retail, HRTech, EduTech, Telecom, Media, and Entertainment. Mathematics of GAN is discussed and illustrated. KL divergence and other parts of GAN are illustrated and discussed mathematically. This book teaches how to build codes for pix2pix GAN, DCGAN, CGAN, styleGAN, cycleGAN, and many other GAN. Machine Learning and Deep Learning Researchers will learn GAN in the shortest possible time with the help of this book.＜/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。	1,597円
Adversarial versus Inquisitorial Justice Psychological Perspectives on Criminal Justice Systems【電子書籍】楽天Kobo電子書籍ストア	＜p＞This is the first volume that directly compares the practices of adversarial and inquisitorial systems of law from a psychological perspective. It aims at understanding why American and European continental systems differ so much, while both systems entertain much support in their communities. In the chapters it is demonstrated how the different systems chose different solutions for many of the same problems and how the solutions are related to the typical characteristics of the adversarial and the inquisitorial systems of criminal law. Particular emphasis is placed on problems addressed by psychological researchers and practitioners in the two systems. Chapters cover topics including: police investigative techniques, risk assessment, the death penalty, recovered memories, child witnesses, line-up practices, expert witnesses, trial procedures, and lay versus judge decision making. The book is written for advanced audiences in psychology and law.＜/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。	18,231円
洋書 Paperback, Isolate or Engage: Adversarial States, US Foreign Policy, and Public Diplomacy Glomarket	* We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 * 特に注意してください。 * ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 * ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。PC販売説明文	3,179円
Generative Adversarial Networks and Deep Learning Theory and Applications【電子書籍】楽天Kobo電子書籍ストア	＜p＞This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep learning and generative adversarial networks, which includes creating new tools and methods for processing text, images, and audio.＜/p＞＜p＞A Generative Adversarial Network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications. Generative Adversarial Networks(GANs) have the feasibility to build improved models, as they can generate the sample data as per application requirements. There are various applications of GAN in science and technology, including computer vision, security, multimedia and advertisements, image generation, image translation,text-to-images synthesis, video synthesis, generating high-resolution images, drug discovery, etc.＜/p＞＜p＞＜em＞＜strong＞Features＜/strong＞＜/em＞:＜/p＞＜ul＞＜li＞Presents a comprehensive guide on how to use GAN for images and videos.＜/li＞＜li＞Includes case studies of Underwater Image Enhancement Using Generative Adversarial Network, Intrusion detection using GAN＜/li＞＜li＞Highlights the inclusion of gaming effects using deep learning methods＜/li＞＜li＞Examines the significant technological advancements in GAN and its real-world application.＜/li＞＜li＞Discusses as GAN challenges and optimal solutions＜/li＞＜/ul＞＜p＞The book addresses scientific aspects for a wider audience such as junior and senior engineering, undergraduate and postgraduate students, researchers, and anyone interested in the trends development and opportunities in GAN and Deep Learning.＜/p＞＜p＞The material in the book can serve as a reference in libraries, accreditation agencies, government agencies, and especially the academic institution of higher education intending to launch or reform their engineering curriculum＜/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。	8,604円