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GANs in Action
Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks' one that generates content and the other that rejects samples that are of poor quality. GANs in Action: Deep learning with Generative Adversarial Networks teaches you how to build and train your own generative adversarial networks. First, you'll get an introduction to generative modelling and how GANs work, along with an overview of their potential uses. Then, you'll start building your own simple adversarial system, as you explore the foundation of GAN architecture: the generator and discriminator networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Somatotyping
Somatotyping is a method of description and assessment of the body on three shape and composition scales: endomorphy (relative fatness), mesomorphy (relative musculoskeletal robustness), and ectomorphy (relative linearity). This book (the first major account of the field for thirty years) presents a comprehensive history of somatotyping, beginning with W. J. Sheldon's introduction of the method in 1940. The controversies regarding the validity of Sheldon's method are described, as are the various attempts to modify the technique, particularly the Heath-Carter method, which has come into widespread use. The book reviews present knowledge of somatotypes around the world, how they change with growth, ageing and exercise, and the contributions of genetics and environment to the rating. Also reviewed are the relationships between somatotypes and sport, physical performance, health and behaviour. Students and research workers in human biology, physical and biological anthropology and physical education will all find valuable information in this book.
High Performance Vision Intelligence
This book focuses on the challenges and the recent findings in vision intelligence incorporating high performance computing applications. The contents provide in-depth discussions on a range of emerging multidisciplinary topics like computer vision, image processing, artificial intelligence, machine learning, cloud computing, IoT, and big data. The book also includes illustrations of algorithms, architecture, applications, software systems, and data analytics within the scope of the discussed topics. This book will help students, researchers, and technology professionals discover latest trends in the fields of computer vision and artificial intelligence.
Moscow
Linchpin of the Soviet system and exemplar of its ideology, Moscow was nonetheless instrumental in the Soviet Union's demise. It was in this metropolis of nine million people that Boris Yeltsin, during two frustrating years as the city's party boss, began his move away from Communist orthodoxy. Colton charts the general course of events that led to this move, tracing the political and social developments that have given the city its modern character. He shows how the monolith of Soviet power broke down in the process of metropolitan governance, where the constraints of censorship and party oversight could not keep up with proliferating points of view, haphazard integration, and recurrent dev...
The Icon and the Square
In The Icon and the Square, Maria Taroutina examines how the traditional interests of institutions such as the crown, the church, and the Imperial Academy of Arts temporarily aligned with the radical, leftist, and revolutionary avant-garde at the turn of the twentieth century through a shared interest in the Byzantine past, offering a counternarrative to prevailing notions of Russian modernism. Focusing on the works of four different artists—Mikhail Vrubel, Vasily Kandinsky, Kazimir Malevich, and Vladimir Tatlin—Taroutina shows how engagement with medieval pictorial traditions drove each artist to transform his own practice, pushing beyond the established boundaries of his respective art...
The Cambridge Companion to the Cello
This is a compact, composite and authoritative survey of the history and development of the cello and its repertory since the origins of the instrument. The volume comprises thirteen essays, written by a team of nine distinguished scholars and performers, and is intended to develop the cello's historical perspective in breadth and from every relevant angle, offering as comprehensive a coverage as possible. It focuses in particular on four principal areas: the instrument's structure, development and fundamental acoustical principles; the careers of the most distinguished cellists since the baroque era; the cello repertory (including chapters devoted to the concerto, the sonata, other solo repertory, and ensemble music); and its technique, teaching methods and relevant aspects of historical and performance practice. It is the most comprehensive book ever to be published about the instrument and provides essential information for performers, students and teachers.
MonoThreeism
What if God is as rational as our own existence? Sitting in a pub one Christmas Eve, two friends hash out their doubts and questions about God, the Trinity, and existence itself. They agree that the Christian Trinity does not make much sense, yet when they look at the origins of the universe, they realize it also does not make sense, and for exactly the same reasons. And if the enigma of the Trinity is the same one underlying the universe, then perhaps the Trinity is as rational to believe in as our own existence. Yet as the night goes on, they realize the same tact can be taken with lots of other mysteries as well, including free will, the soul, God, eternity, truth, and meaning. If such things were not real, then would we even exist to talk about it?
Probabilistic Deep Learning
Probabilistic Deep Learning is a hands-on guide to the principles that support neural networks. Learn to improve network performance with the right distribution for different data types, and discover Bayesian variants that can state their own uncertainty to increase accuracy. This book provides easy-to-apply code and uses popular frameworks to keep you focused on practical applications. Summary Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability teaches the increasingly popular probabilistic approach to deep learning that allows you to refine your results more quickly and accurately without much trial-and-error testing. Emphasizing practical techniques that use the Pyt...
Grokking Artificial Intelligence Algorithms
”This book takes an impossibly broad area of computer science and communicates what working developers need to understand in a clear and thorough way.” - David Jacobs, Product Advance Local Key Features Master the core algorithms of deep learning and AI Build an intuitive understanding of AI problems and solutions Written in simple language, with lots of illustrations and hands-on examples Creative coding exercises, including building a maze puzzle game and exploring drone optimization About The Book “Artificial intelligence” requires teaching a computer how to approach different types of problems in a systematic way. The core of AI is the algorithms that the system uses to do things...
