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Explore various Generative Adversarial Network architectures using the Python ecosystem Key Features Use different datasets to build advanced projects in the Generative Adversarial Network domain Implement projects ranging from generating 3D shapes to a face aging application Explore the power of GANs to contribute in open source research and projects Book Description Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in this field since it is one of the rapidly growing areas of machine learning. This book will test unsupervised techniques for training neural networks as you build seven end-to-end projects in the GAN domain. Generative Adversarial Network Projects begins by covering the concepts, tools, and libraries that you will use to build efficient projects. You will also use a variety of datasets for the different projects covered in the book. The level of complexity of the operations required increases with every chapter, helping you get to grips with using GANs. You will cover popular approaches such as 3D-GAN, DCGAN, StackGAN, and CycleGAN, and you'll gain an understanding of the architecture and functioning of generative models through their practical implementation. By the end of this book, you will be ready to build, train, and optimize your own end-to-end GAN models at work or in your own projects. What you will learn Train a network on the 3D ShapeNet dataset to generate realistic shapes Generate anime characters using the Keras implementation of DCGAN Implement an SRGAN network to generate high-resolution images Train Age-cGAN on Wiki-Cropped images to improve face verification Use Conditional GANs for image-to-image translation Understand the generator and discriminator implementations of StackGAN in Keras Who this book is for If you're a data scientist, machine learning developer, deep learning practitioner, or AI enthusiast looking for a project guide to test your knowledge and expertise in building real-world GANs models, this book is for you.

Machine learning. --- Artificial intelligence. --- TensorFlow (Electronic resource)

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A text book of Soil Ecology, offers a physico-chemistry approach to soil biology and ecosystem function, providing students and ecosystem researchers with a greater understanding of the central roles that soils play in ecosystem development and function. The text emphasizes the increasing importance of soils as the organizing center for all terrestrial ecosystems and provides an overview of theory and practice in soil ecology, both from an ecosystem and evolutionary biology point of view. This book is fully updated, including an expanded treatment of microbial ecology and new sections on advances in molecular techniques and climate change research. These updates make this edition an essential resource for researchers and students in soil ecology and microbiology. The book has presented a historical background of soil concepts, extending from early Chinese and Mesopotamian cultures, through Greco-Roman, into modern times. Much modern research focuses at the interface between soil, water, gases and organisms. Soils have texture and structure, arising via a range of mechanisms, mediated by the production of soil organic matter. Soil is one of the most heterogeneous environments that exist in nature and existing within this complex matrix are soil biota ranging from virus particles through to macro fauna. From this complex environment comes most of the food needed for the world population. This highlights the absolute importance of improving our understanding of this complex environment. Soil biodiversity changes driven by global change are the result of direct impacts (changes in temperature and moisture), and indirectly, through shifts in nutrient supply from plants. Invasive plants and animals add to the complexity of these long-term processes. Increasing food web complexity in soils should provide improved "health" (i.e., enhanced recycling of nutrients) in agro-ecosystems. . It critique of the interfaces between soil food webs, and enhanced provision of ecosystem services over landscapes at millennial time scales. In this book the physico-chemical and biological properties of soil have been mentioned, readers will have a book that will go a long way to words giving them the understanding of soil ecology relevant to research in production, agriculture and on environmental issues.

Biology --- Science

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Climatic changes.

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This book examines essential issues and perspectives on rural labour, helping readers understand the changes that are currently taking place in the labour markets, especially with regard to migrants from rural to urban areas, their socio-economic conditions, factors contributing to such mobility and associated problems. Further, it addresses the question of why the socio-economic conditions of rural labour have not experienced measurable improvements. Presenting a collection of painstakingly researched essays that focus on both India and China, the book addresses these challenges with an explicit focus on safeguarding the interests of rural labour under the neoliberal dispensation. The research is based on primary survey data and analytical issues from selected Asian economies, especially from India. On the basis of the findings discussed, it subsequently suggests ways forward so as to improve the wellbeing of migrant households and put an end to distress migration. Lastly, the book convincingly argues that improving labour market outcomes, and more specifically, generating employment and providing alternative livelihood avenues, represents the most pressing challenge in rural areas.

Migrant labor --- Labor, Migrant --- Migrant workers --- Migrants (Migrant labor) --- Migratory workers --- Transient labor --- Economic conditions. --- Labor economics. --- Development economics. --- Asia --- Emigration and immigration. --- Economic development. --- Economics. --- Labor Economics. --- Development Economics. --- Development Studies. --- Asian Economics. --- Migration. --- Employees --- Casual labor --- Asia-Economic conditions. --- Economics --- Economic development --- Development, Economic --- Economic growth --- Growth, Economic --- Economic policy --- Statics and dynamics (Social sciences) --- Development economics --- Resource curse --- Asia—Economic conditions. --- Immigration --- International migration --- Migration, International --- Population geography --- Assimilation (Sociology) --- Colonization

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The book presents research work on face recognition using edge information as features for face recognition with ICA algorithms. The independent components are extracted from edge information. These independent components are used with classifiers to match the facial images for recognition purpose. In their study, authors have explored Canny and LOG edge detectors as standard edge detection methods. Oriented Laplacian of Gaussian (OLOG) method is explored to extract the edge information with different orientations of Laplacian pyramid. Multiscale wavelet model for edge detection is also proposed to extract edge information. The book provides insights for advance research work in the area of image processing and biometrics.

Human face recognition (Computer science) --- Optical pattern recognition. --- Face -- Computer simulation. --- Human face recognition (Computer science). --- Face recognition, Human (Computer science) --- Facial pattern recognition (Computer science) --- Engineering. --- Biometrics (Biology). --- Computational intelligence. --- Signal, Image and Speech Processing. --- Biometrics. --- Computational Intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Construction --- Industrial arts --- Technology --- Statistical methods --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Optical pattern recognition --- Signal processing. --- Image processing. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Image processing --- Digital techniques.