Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for image classification, image recognition, object detection and many computer vision challenges. Key Features Learn the fundamentals of Convolutional Neural Networks Harness Python and Tensorflow to train CNNs Build scalable deep learning models that can process millions of items Book Description Convolutional Neural Networks (CNN) are one of the most popular architectures used in computer vision apps. This book is an introduction to CNNs through solving real-world problems in deep learning while teaching you their implementation in popular Python library - TensorFlow. By the end of the book, you will be training CNNs in no time! We start with an overview of popular machine learning and deep learning models, and then get you set up with a TensorFlow development environment. This environment is the basis for implementing and training deep learning models in later chapters. Then, you will use Convolutional Neural Networks to work on problems such as image classification, object detection, and semantic segmentation. After that, you will use transfer learning to see how these models can solve other deep learning problems. You will also get a taste of implementing generative models such as autoencoders and generative adversarial networks. Later on, you will see useful tips on machine learning best practices and troubleshooting. Finally, you will learn how to apply your models on large datasets of millions of images. What you will learn Train machine learning models with TensorFlow Create systems that can evolve and scale during their life cycle Use CNNs in image recognition and classification Use TensorFlow for building deep learning models Train popular deep learning models Fine-tune a neural network to improve the quality of results with transfer learning Build TensorFlow models that can scale to large datasets and systems Who this book is for This book is for Software Engineers, Data Scientists, or Machine Learning practitioners who want to use CNNs for solving real-world problems. Knowledge of basic machine learning concepts, linear algebra and Python will help.
How does the state separate music from noise? How can such a filtering apparatus shape the content and form of sound production in the city? As a marker of co-presence to the hearing body, sound is always open to (or rather opens up) the politics of shared existence. In the throes of the post-dictatorship period, Brazil's legislative and executive branches implemented a series of sweeping measures to address quality of life concerns, including environmental pollution and urban inequality. In São Paulo, noise control became a recurrent controversy, growing in size and scale between the 1990s and 2010s. Together with the much-debated fear of crime and the socioeconomic and cultural tensions between the rich urban center and the poor peripheries, such ecological agendas against noise as a harmful pollutant have reconfigured the presence of environmental sounds in the city. In this book, Cardoso argues that the framing of specific sounds as unavoidable, unnecessary, or as harmful "noise" has been an effective strategy to organize spaces and administer group behavior in this rapidly expanding city. He focuses on two interrelated processes. First, the series of institutional regulatory mechanisms that turn sounds into the all-embracing "noise" susceptible to state intervention. Second, the constant attempts of interested groups in either attaching or detaching specific sounds (musical events, industrial noise, traffic noise, religious sounds, etc.) from regulatory scrutiny. Sound-politics is the dynamic that emerges from both processes - the channels through which sounds enter (and leave) the sphere of state regulation.
The book is a concise guide dealing with the subject of air turbulence and its methods of detection with particular applications to aviation turbulence. It begins with a general description of turbulence and provides a background into the nature and causes of atmospheric turbulence that affect aircraft motion, giving updates on the state-of-the-art research on clear air turbulence (CAT). Important physical processes leading to the Kelvin-Helmholtz instability, a primary producer of CAT, are also explained. The several categories of CAT along with its impact on commercial aviation are also presented in a separate chapter, with particular emphasis on the structural damages to planes and injuries. The central theme of the book deals with both the earlier and the latest CAT detecting methods and techniques for remote and in situ sensing and forecasting. A concise presentation of new technologies for reducing aviation weather-related accidents is also offered. A chapter on the weather accident prevention project of the NASA aviation safety program is also included. Additionally, the book ends with a full description of the recent research activities on CAT and future challenges in turbulence detection, prediction and avoidance.
Virtues are values underlying human practices. We are at the dawn of a new era, an era of global ethics requiring some core virtues. These core virtues are hospitality, co-living, respect, tolerance, and communality. Book 1 treats the virtue of hospitality that is a right and a duty of all, and which is still to be discovered and practiced unconditionally. Book 2 deals with the virtues of co-living, respect, and tolerance, which are important virtues if the peoples of the earth are to live together in peace in our common home, the planet Earth. Finally, Book 3 deals with the virtue of communality; this is a very important virtue because a large part of humanity experiences hunger and thirst, which is something scandalous in this day and age, and which demonstrates a lack of humanity, because we possess the technical means and political framework to resolve this situation. If these core virtues become a reality, they will transform human practices into something beneficial both to human beings and to the planet Earth, our common home.
Machine generated contents note: -- Preface -- Chapter 1 - Exile and Post-Exile in Analytical Perspective -- Chapter 2 - Escape, Deportation and Exile: The Contours of Institutionalized Exclusion -- Chapter 3 - Exile and Diaspora Politics: Mobilizing to Undo Exclusion -- Chapter 4 - Diaspora and Home Country Initiatives, Transnational Networks and State Policies -- Chapter 5 - Surviving Authoritarianism, Contributing to the Agenda of Democratization -- Chapter 6 - Undoing Exile? Remembering, Imagining, Envisioning -- Chapter 7 - The Transformational Role of Culture and Education: Impacting the Future -- Chapter 8 - Shifting Frontiers of Citizenship -- Conclusions -- About the Authors -- Index
In his latest work, the noted Latin American theologian Leonardo Boff extends the intuitions of liberation theology, showing how they contribute to answering urgent questions of poverty and ecological degradation. If faith fails to appreciate the ecological paradigm, Boff argues, it only adds to the crisis and begs for reform." "Focusing on the threatened Amazon of his native Brazil, Boff traces the economic and metaphysical ties that bind the fate of the rain forests with the fate of the Indians and poor of the land. He shows how liberation theology must join with ecology in reclaiming the dignity of the earth and our sense of a common community. To illustrate to possibilities, Boff turns to resources in Christian spirituality, ancient and modern, including cosmic Christology and the vision of St. Francis of Assisi."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved
For nearly 60 years, Ferrari has built the sports cars which fire enthusiasts' dreams. This book catalogs the Maranello factory's output: more than 180 designs are illustrated with both artworks and photographs. Organized in chronological order and subdivided into touring, sport cars, and Formula One single-seaters, each design has its own technical specification and a text that details the principle engineering and sports successes. The work is complemented by a listing detailing all the key victories in more than 50 years of racing.--From publisher description.
The book is based on the author's PhD thesis, which deals with the concept of time in quantum gravity and its relevance for the physics of the early Universe. It presents a consistent and complete new relational formulation of quantum gravity (more specifically, of quantum mechanics models with diffeomorphism invariance), which is applied to potentially observable cosmological effects. The work provides answers to the following questions: How can the dynamics of quantum states of matter and geometry be defined in a diffeomorphism-invariant way? What is the relevant space of physical states and which operators act on it? How are the quantum states related to probabilities in the absence of a preferred time? The answers can provide a further part of the route to constructing a fundamental theory of quantum gravity. The book is well-suited to graduate students as well as professional researchers in the fields of general relativity and gravitation, cosmology, and quantum foundations.
What explains the engagement of low-income young people in media initiatives for political mobilization and social change in everyday life? Favela Media Activism: Counterpublics for Human Rights in Brazil responds to this question using an in-depth ethnographic and interdisciplinary study about the trajectories in media activism among young residents of low-income and violence-ridden favelas in socially unequal Rio de Janeiro. Leonardo Custódio provides multifaceted analyses of how favela youth engage in individual and collective media activist initiatives despite social class constraints and neoliberal imperatives in their everyday life. This book details processes experienced by young favela residents while becoming individuals who act to challenge and change patterns of discrimination, governmental neglect and drug-related violence. It is an important resource for scholars interested in the nuances of political engagement among marginalized youth in today’s world of hyper-connectivity, information abundance, and the persistence of racial and social inequalities.
One out of every five Latin Americans or around 130 million people have never known anything but poverty, subsisting on less than US$4-a-day throughout their lives. These are the region ́s chronically poor, who have remained so despite unprecedented inroads against poverty in Latin America and the Caribbean since the turn of the century. Left Behind: Chronic Poverty in Latin America and the Caribbean takes a closer look at the region’s entrenched poor, who and where they are, and how existing policies need to change in order to effectively assist them. The book shows significant variations of rates of chronic poverty both across and within countries. Within a single country, some regions show incidence rates up to eight times higher than the lowest. Despite the higher rates of chronic poverty in rural areas, chronic poverty is as much an urban as a rural issue. In fact, considering absolute numbers, urban areas in many countries, including Chile, Brazil, Mexico, Colombia and the Dominican Republic, have more chronic poor than rural areas. Undoubtedly the region has come a long way during the decade in terms of poverty reduction, guided by a mix of sustained growth and increased levels in amounts and quality of public spending and programs targeted directly or indirectly to the chronic poor. While improving endowments and the context where the chronic poor live is a necessary condition going forward, the decade’s experience suggests that it may not be enough to reach the chronic poor. The book posits that refinements to the existing policy toolkit †“ as opposed to more programs †“ may come a long way in helping the remaining poor. These refinements include intensifying efforts to improve coordination between different social and economic programs, which can boost the income generation process and deal with the intergenerational transmission of chronic poverty by investing in early childhood development. Equally important though, there is an urgent need to adapt programs to directly address the psychological toll of chronic poverty on people’s mindset and aspirations, which currently undermines the effectiveness of the existing policy efforts.
The history of Latin American journalism is ultimately the story of a people who have been silenced over the centuries, primarily Native Americans, women, peasants, and the urban poor. This book seeks to correct the record propounded by most English-language surveys of Latin American journalism, which tend to neglect pre-Columbian forms of reporting, the ways in which technology has been used as a tool of colonization, and the Latin American conceptual foundations of a free press. Challenging the conventional notion of a free marketplace of ideas in a region plagued with serious problems of poverty, violence, propaganda, political intolerance, poor ethics, journalism education deficiencies, and media concentration in the hands of an elite, Ferreira debunks the myth of a free press in Latin America. The diffusion of colonial presses in the New World resulted in the imposition of a structural censorship with elements that remain to this day. They include ethnic and gender discrimination, technological elitism, state and religious authoritarianism, and ideological controls. Impoverished, afraid of crime and violence, and without access to an effective democracy, ordinary Latin Americans still live silenced by ruling actors that include a dominant and concentrated media. Thus, not only is the press not free in Latin America, but it is also itself an instrument of oppression.
Esta coletânea contempla os textos de egressos e discentes do Programa de Pós-Graduação em Música do IA-UNESP indicados pelos docentes, em comemoração aos XX anos de implantação do Programa. Os artigos selecionados de 2018 a 2023 não resumem as teses e dissertações dos discentes e egressos, são uma extensão de suas pesquisas. Constam da publicação, além dos textos inéditos, o resumo curricular dos autores, a atividade profissional que desempenham, o impacto de suas pesquisas para a área, além do nome dos docentes que orientaram as teses e dissertações, todas elas alinhadas às linhas de pesquisa que norteiam o PPG. No intuito de contemplar todos os textos indicados pelos orientadores, foi necessário dividir a produção intelectual dos discentes e egressos em três volumes.
Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for image classification, image recognition, object detection and many computer vision challenges. Key Features Learn the fundamentals of Convolutional Neural Networks Harness Python and Tensorflow to train CNNs Build scalable deep learning models that can process millions of items Book Description Convolutional Neural Networks (CNN) are one of the most popular architectures used in computer vision apps. This book is an introduction to CNNs through solving real-world problems in deep learning while teaching you their implementation in popular Python library - TensorFlow. By the end of the book, you will be training CNNs in no time! We start with an overview of popular machine learning and deep learning models, and then get you set up with a TensorFlow development environment. This environment is the basis for implementing and training deep learning models in later chapters. Then, you will use Convolutional Neural Networks to work on problems such as image classification, object detection, and semantic segmentation. After that, you will use transfer learning to see how these models can solve other deep learning problems. You will also get a taste of implementing generative models such as autoencoders and generative adversarial networks. Later on, you will see useful tips on machine learning best practices and troubleshooting. Finally, you will learn how to apply your models on large datasets of millions of images. What you will learn Train machine learning models with TensorFlow Create systems that can evolve and scale during their life cycle Use CNNs in image recognition and classification Use TensorFlow for building deep learning models Train popular deep learning models Fine-tune a neural network to improve the quality of results with transfer learning Build TensorFlow models that can scale to large datasets and systems Who this book is for This book is for Software Engineers, Data Scientists, or Machine Learning practitioners who want to use CNNs for solving real-world problems. Knowledge of basic machine learning concepts, linear algebra and Python will help.
Why do some companies succeed better than others? It is well known that there are many variables such which may impact a company's performance. The authors present their new model for Market Proactiveness which shows organizations how to anticipate change and respond to it before they are forced to do so, and improve their overall performance.
The book presents to the reader an interdisciplinary vision of microspheres including its concepts and applications. The book ranges from the preparation of microspheres using different methodologies (such as sol-gel processes) through different characterization techniques as well as the use of these systems for diagnostic diseases (cancer and hemodynamics fields). In addition, this book discusses aspects of the use of microspheres in: i) catalysis and separation sciences; ii) theoretical studies for applications in optical devices; iii) development of new systems aiming biomedical applications and iv) development of carrier systems for bioactive compounds. Thus this book covers a wide range of areas such as physics, chemistry, mathematics, biology, biomedical engineering, medical, and food, among others. This book presents new advances in the use of microspheres and, in this way, we intend to contribute to students, teachers, researchers, research centers, companies, and industries which have interest in these topics. The book is organized into eleven chapters written in a clear and concise form with illustrations that will help readers comprehend all subjects. Furthermore, this book will contribute to the generation of knowledge in this field.
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