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Antonio Citterio Design - - Bog - Silvana - Plusbog.dk

Deep Learning with Python - Nihkil Ketkar - Bog - APress - Plusbog.dk

Deep Learning with Python - Nihkil Ketkar - Bog - APress - Plusbog.dk

Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often acquired by practitioners by reading source code, manuals, and posting questions on community forums, which tends to be a slow and a painful process. Deep Learning with Python allows you to ramp up to such practical know-how in a short period of time and focus more on the domain, models, and algorithms. This book briefly covers the mathematical prerequisites and fundamentals of deep learning, making this book a good starting point for software developers who want to get started in deep learning. A brief survey of deep learning architectures is also included. Deep Learning with Python also introduces you to key concepts of automatic differentiation and GPU computation which, while not central to deep learning, are critical when it comes to conducting large scale experiments. What You Will Learn - Leverage deep learning frameworks in Python namely, Keras, Theano, and Caffe - Gain the fundamentals of deep learning with mathematical prerequisites - Discover the practical considerations of large scale experiments - Take deep learning models to production Who This Book Is For Software developers who want to try out deep learning as a practical solution to a particular problem. Software developers in a data science team who want to take deep learning models developed by data scientists to production.

DKK 593.00
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Neural Network Computer Vision with OpenCV 5 - Gopi Krishna Nuti - Bog - BPB Publications - Plusbog.dk

China and Transboundary Water Politics in Asia - - Bog - Taylor & Francis Ltd - Plusbog.dk

China and Transboundary Water Politics in Asia - - Bog - Taylor & Francis Ltd - Plusbog.dk

Water-related conflicts have a long history and will continue to be a global and regional problem. Asia, with 1.5 billion of its people living in shared river basins, and with very few transboundary rivers governed by treaties, is especially prone to such conflicts. The key to mitigating transboundary water conflicts and advancing cooperation in Asia is largely in the hands of China, the upstream country for most of Asia’s major transboundary rivers. To avert the looming water crisis, apart from spending billions of dollars on domestic water transfer projects such as the South–North Water Diversion Megaproject, as well as on water conservancy and pollution abatement, China has sought to utilize the water resources of the major rivers that run across borders with neighbouring countries. On these transboundary rivers, China has built or plans to build large dams for hydroelectricity and major water diversion facilities, which has triggered anxiety and complaints from downstream countries and criticism from the international society. This book aims to systematically examine the complex reality of water contestations between China and its neighbouring countries. It provides a discussion on transboundary hydropolitics beyond the state-centric geopolitical perspective to dig into various political, institutional, legal, historical, geographical, and demographic factors that affect China’s policies and practices towards transboundary water issues. This book also provides a collection of comparative case studies on China’s water resources management on the Mekong River with other five riparian states in the Lower Mekong region: the Salween River with Myanmar, the Brahmaputra River with India, the Amur River with Russia and Mongolia, the Illy and Irtysh Rivers with Kazakhstann, and the Yalu and Tumen Rivers with North Korea. Furthermore, this book sheds light on China’s future role in global water governance.

DKK 477.00
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