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current usage by extending it to the complex domain for signal and image processing applications. Deep Belief Nets in C++ and CUDA C: Volume 2;
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++ and CUDA C deep learning and belief nets, Deep Belief Nets in C++ and CUDA C: Volume 1 shows you how the structure of these elegant models;
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applications. At each step Deep Belief Nets in C++ and CUDA C: Volume 3 presents intuitive motivation, a summary of the most important equations;
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, Event and Concurrency * Multi-GPU Programming * CUDA Domain-Specific Libraries * Profiling and Performance Tuning The book makes complex CUDA;
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Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has;
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Discover how CUDA allows OpenCV to handle complex and rapidly growing image data processing in computer and machine vision by accessing the;
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computations on a gaming-level PC that would have required a supercomputer just a few years ago. The authors introduce the essentials of CUDA C;
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like language. GLSL, Cg and CUDA provide significant speedup, however they offer complex integration frameworks and require specialized;
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such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB;
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NETS 2015, held in Brussels, Belgium, in June 2015. The 12 regular papers and 2 tool papers presented in this volume were carefully reviewed;
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Metaprogramming can construct flexible and efficient code. For C++ developers who are familiar with object-oriented programming, the main difficulty;
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benefits versus costs, and determining application lifespan. The book then details the thought behind CUDA and teaches how to create;
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In two magnificent and authoritative volumes, Harold C. Goddard takes readers on a tour through the works of William Shakespeare;
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This book constitutes the proceedings of the 42nd International Conference on Application and Theory of Petri Nets and Concurrency, PETRI;
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appeared in the Lecture Notes in Networks and Systems series. But basic notions of c-e structures are here provided for understanding the examples.;
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We introduce the theory of chemical reaction networks and their relation to stochastic Petri nets - important ways of modeling population;
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David Gould's acclaimed first book, Complete Maya Programming: An Extensive Guide to MEL and the C++ API, provides artists and;
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The Belief Factor is een boek van Christopher C. Bell;
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Since Richard N. Knowles's first papers on Self-Organizing Leadership and the Process Enneagram(c) published in Emergence: Complexity;
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thoroughly updated edition is simply the best one-volume reference to the C# language available today. Organized around concepts and use cases, C;
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This book concentrates on the applications of Petri Nets in computer science. Petri Nets are graphical and mathematical tools, and the;
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