Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and autonomous vehicles. An Introduction to Deep Learning Business Applications for Developers covers some common DL algorithms such as content-based recommendation algorithms and natural language processing. You’ll explore examples, such as video prediction with fully convolutional neural networks (FCNN) and residual neural networks (ResNets). You will also see applications of DL for controlling robotics, exploring the DeepQ learning algorithm with Monte Carlo Tree search (used to beat humans in the game of Go), and modeling for financial risk assessment. There will also be mention of the powerful set of algorithms called Generative Adversarial Neural networks (GANs) that can be applied for image colorization, image completion, and style transfer. After reading this book you will have an overview of the exciting field of deep neural networks and an understanding of most of the major applications of deep learning. The book contains some coding examples, tricks, and insights on how to train deep learning models using the Keras framework. What You Will Learn Find out about deep learning and why it is so powerful Work with the major algorithms available to train deep learning models See the major breakthroughs in terms of applications of deep learning Run simple examples with a selection of deep learning libraries Discover the areas of impact of deep learning in business Who This Book Is For Data scientists, entrepreneurs, and business developers.
“Getting Started with a SIMPLIS Approach” is particularly appropriate for those users who are not experts in statistics, but have a basic understanding of multivariate analysis that would allow them to use this handbook as a good first foray into LISREL. Part I introduces the topic, presents the study that serves as the background for the explanation of matters, and provides the basis for Parts II and III, which, in turn, explain the process of estimation of the measurement model and the structural model, respectively. In each section, we also suggest essential literature to support the utilization of the handbook. After having read the book, readers will have acquired a basic knowledge of structural equation modeling, namely using the LISREL program, and will be prepared to continue with the learning process.
Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and autonomous vehicles. An Introduction to Deep Learning Business Applications for Developers covers some common DL algorithms such as content-based recommendation algorithms and natural language processing. You’ll explore examples, such as video prediction with fully convolutional neural networks (FCNN) and residual neural networks (ResNets). You will also see applications of DL for controlling robotics, exploring the DeepQ learning algorithm with Monte Carlo Tree search (used to beat humans in the game of Go), and modeling for financial risk assessment. There will also be mention of the powerful set of algorithms called Generative Adversarial Neural networks (GANs) that can be applied for image colorization, image completion, and style transfer. After reading this book you will have an overview of the exciting field of deep neural networks and an understanding of most of the major applications of deep learning. The book contains some coding examples, tricks, and insights on how to train deep learning models using the Keras framework. What You Will Learn Find out about deep learning and why it is so powerful Work with the major algorithms available to train deep learning models See the major breakthroughs in terms of applications of deep learning Run simple examples with a selection of deep learning libraries Discover the areas of impact of deep learning in business Who This Book Is For Data scientists, entrepreneurs, and business developers.
“Getting Started with a SIMPLIS Approach” is particularly appropriate for those users who are not experts in statistics, but have a basic understanding of multivariate analysis that would allow them to use this handbook as a good first foray into LISREL. Part I introduces the topic, presents the study that serves as the background for the explanation of matters, and provides the basis for Parts II and III, which, in turn, explain the process of estimation of the measurement model and the structural model, respectively. In each section, we also suggest essential literature to support the utilization of the handbook. After having read the book, readers will have acquired a basic knowledge of structural equation modeling, namely using the LISREL program, and will be prepared to continue with the learning process.
Containing the translated Books I-V of the Suma Oriental: An Account of the East, from the Red Sea to Japan, written in Malacca and India in 1512-1515, and The Book of Francisco Rodrigues, Rutter of a Voyage in the Red Sea, Nautical Rules, Almanack and Maps, Written and Drawn in the East before 1515. Translated from the Portuguese MS in the Bibliothèque de la Chambre des Deputés, Paris. The main pagination of this and the following volume (Second Series 90) is continuous. This is a new print-on-demand hardback edition of the volume first published in 1944.
This book examines the Brazilian political process in the period of 2003-2020: the governments led by the Workers’ Party and their reformist policies, the deep political crisis that led to the impeachment of President Dilma Rousseff and the rise of Bolsonaro neofascism.
This book provides users, pump manufactures, engineers, researchers and students with extensive information about pump’s behavior in reverse operation. It reports on cutting-edge methods for selecting the proper PAT and improving PAT’s efficiency, discusses PAT’s reliability, economic issues and environmental impact as well. The book describes in detail electromechanical equipment of PAT systems, their installation and operation, and gives important practical insight into the use of PAT in water transmission and distribution systems, as part of thermal power plants and cooling systems, in oil distribution systems and other systems as well. It reports on different types on PAT control modes as well as on numerical methods useful for PAT analysis and implementation. All in all, the book represents a comprehensive practice-oriented reference-guide to design engineers, as well as PAT general users and manufactures. It also provides researchers with extensive technical information on the use of PAT thus fostering new discussions and ideas to improve current methods and cope with future challenges.
This book offers a reassessment politics against the predominating economicist approach to historical materialism within contemporary Marxism. Boito draws on the structural interpretation of Marxism inspired by Althusser’s works of the mid-1960s and, especially, by Poulantzas’ Political Power and Social Classes. The volume aims to demonstrate the role of the political dimension (together with the economy) and, to a further extent, to contribute to renew contemporary Marxist political theory. The chapters cover topics such as: the nature of political power; the structure and functions of the state; the role of politics in historical change; political crises; and the political formation of the working class. The book highlights the role of political structures and practices in the reproduction of economic and social relations and also in the process of historical change. The aim of the book is to contribute to the renewal of Marxist thought, breaking with the economicist conception that dominated it throughout the last century, and finally meeting the demands of the socialist struggle in the 21st century.
Over the past decades, chromatin remodelling has emerged as an important regulator of gene expression and plant defense. This book provides a detailed understanding of the epigenetic mechanisms involved in plants of agronomic importance. The information presented here is significant because it is expected to provide the knowledge needed to develop in the future treatments to manipulate and selectively activate/inhibit proteins and metabolic pathways to counter pathogens, to treat important diseases and to increase crop productivity. New approaches of this kind and the development of new technologies will certainly increase our knowledge of currently known post-translational modifications and facilitate the understanding of their roles in, for example, host-pathogen interactions and crop productivity. Furthermore, we provide important insight on how the plant epigenome changes in response to developmental or environmental stimuli, how chromatin modifications are established and maintained, to which degree they are used throughout the genome, and how chromatin modifications influence each another.
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